Training in progress, step 1700, checkpoint
Browse files
checkpoint-1700/adapter_config.json
CHANGED
|
@@ -24,12 +24,12 @@
|
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
"gate_proj",
|
| 27 |
-
"
|
| 28 |
"k_proj",
|
| 29 |
-
"
|
| 30 |
"o_proj",
|
| 31 |
-
"
|
| 32 |
-
"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
|
|
|
| 24 |
"revision": null,
|
| 25 |
"target_modules": [
|
| 26 |
"gate_proj",
|
| 27 |
+
"v_proj",
|
| 28 |
"k_proj",
|
| 29 |
+
"q_proj",
|
| 30 |
"o_proj",
|
| 31 |
+
"up_proj",
|
| 32 |
+
"down_proj"
|
| 33 |
],
|
| 34 |
"task_type": "CAUSAL_LM",
|
| 35 |
"use_dora": false,
|
checkpoint-1700/adapter_model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 216151256
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:32073da0a958402a090498822479ee9219a1aa07dfab18f675e72b544edfa12a
|
| 3 |
size 216151256
|
checkpoint-1700/optimizer.pt
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 432640054
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:81268f53dbe0bdaf16bcfecb5b6093abf275f2cee5d463fdb05592da22d0e95c
|
| 3 |
size 432640054
|
checkpoint-1700/rng_state.pth
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14244
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d280efd25a7a29aef54547e6c3bbd50f03df15bae3ed1824b86ed1341960aeef
|
| 3 |
size 14244
|
checkpoint-1700/trainer_state.json
CHANGED
|
@@ -2,7 +2,7 @@
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 2.151898734177215,
|
| 5 |
-
"eval_steps":
|
| 6 |
"global_step": 1700,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
|
@@ -10,1464 +10,2552 @@
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.012658227848101266,
|
| 13 |
-
"grad_norm":
|
| 14 |
"learning_rate": 4.9789029535864986e-05,
|
| 15 |
-
"loss": 2.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 16 |
"step": 10
|
| 17 |
},
|
| 18 |
{
|
| 19 |
"epoch": 0.02531645569620253,
|
| 20 |
-
"grad_norm": 1.
|
| 21 |
"learning_rate": 4.957805907172996e-05,
|
| 22 |
-
"loss": 1.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 23 |
"step": 20
|
| 24 |
},
|
| 25 |
{
|
| 26 |
"epoch": 0.0379746835443038,
|
| 27 |
-
"grad_norm": 1.
|
| 28 |
"learning_rate": 4.936708860759494e-05,
|
| 29 |
-
"loss": 1.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 30 |
"step": 30
|
| 31 |
},
|
| 32 |
{
|
| 33 |
"epoch": 0.05063291139240506,
|
| 34 |
-
"grad_norm": 1.
|
| 35 |
"learning_rate": 4.9156118143459915e-05,
|
| 36 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 37 |
"step": 40
|
| 38 |
},
|
| 39 |
{
|
| 40 |
"epoch": 0.06329113924050633,
|
| 41 |
-
"grad_norm": 1.
|
| 42 |
"learning_rate": 4.89451476793249e-05,
|
| 43 |
-
"loss": 0.
|
| 44 |
"step": 50
|
| 45 |
},
|
| 46 |
{
|
| 47 |
"epoch": 0.06329113924050633,
|
| 48 |
-
"eval_loss": 0.
|
| 49 |
-
"eval_runtime":
|
| 50 |
-
"eval_samples_per_second":
|
| 51 |
-
"eval_steps_per_second": 2.
|
| 52 |
"step": 50
|
| 53 |
},
|
| 54 |
{
|
| 55 |
"epoch": 0.0759493670886076,
|
| 56 |
-
"grad_norm": 1.
|
| 57 |
"learning_rate": 4.8734177215189874e-05,
|
| 58 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 59 |
"step": 60
|
| 60 |
},
|
| 61 |
{
|
| 62 |
"epoch": 0.08860759493670886,
|
| 63 |
-
"grad_norm": 0.
|
| 64 |
"learning_rate": 4.852320675105486e-05,
|
| 65 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 66 |
"step": 70
|
| 67 |
},
|
| 68 |
{
|
| 69 |
"epoch": 0.10126582278481013,
|
| 70 |
-
"grad_norm": 0.
|
| 71 |
"learning_rate": 4.8312236286919834e-05,
|
| 72 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 73 |
"step": 80
|
| 74 |
},
|
| 75 |
{
|
| 76 |
"epoch": 0.11392405063291139,
|
| 77 |
-
"grad_norm": 0.
|
| 78 |
"learning_rate": 4.810126582278481e-05,
|
| 79 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 80 |
"step": 90
|
| 81 |
},
|
| 82 |
{
|
| 83 |
"epoch": 0.12658227848101267,
|
| 84 |
-
"grad_norm": 0.
|
| 85 |
"learning_rate": 4.789029535864979e-05,
|
| 86 |
-
"loss": 0.
|
| 87 |
"step": 100
|
| 88 |
},
|
| 89 |
{
|
| 90 |
"epoch": 0.12658227848101267,
|
| 91 |
-
"eval_loss": 0.
|
| 92 |
-
"eval_runtime":
|
| 93 |
-
"eval_samples_per_second":
|
| 94 |
-
"eval_steps_per_second": 2.
|
| 95 |
"step": 100
|
| 96 |
},
|
| 97 |
{
|
| 98 |
"epoch": 0.13924050632911392,
|
| 99 |
-
"grad_norm": 0.
|
| 100 |
"learning_rate": 4.767932489451477e-05,
|
| 101 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 102 |
"step": 110
|
| 103 |
},
|
| 104 |
{
|
| 105 |
"epoch": 0.1518987341772152,
|
| 106 |
-
"grad_norm": 0.
|
| 107 |
"learning_rate": 4.7468354430379746e-05,
|
| 108 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 109 |
"step": 120
|
| 110 |
},
|
| 111 |
{
|
| 112 |
"epoch": 0.16455696202531644,
|
| 113 |
-
"grad_norm": 0.
|
| 114 |
"learning_rate": 4.725738396624473e-05,
|
| 115 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 116 |
"step": 130
|
| 117 |
},
|
| 118 |
{
|
| 119 |
"epoch": 0.17721518987341772,
|
| 120 |
-
"grad_norm": 0.
|
| 121 |
"learning_rate": 4.704641350210971e-05,
|
| 122 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 123 |
"step": 140
|
| 124 |
},
|
| 125 |
{
|
| 126 |
"epoch": 0.189873417721519,
|
| 127 |
-
"grad_norm": 0.
|
| 128 |
"learning_rate": 4.683544303797468e-05,
|
| 129 |
-
"loss": 0.
|
| 130 |
"step": 150
|
| 131 |
},
|
| 132 |
{
|
| 133 |
"epoch": 0.189873417721519,
|
| 134 |
-
"eval_loss": 0.
|
| 135 |
-
"eval_runtime":
|
| 136 |
-
"eval_samples_per_second":
|
| 137 |
-
"eval_steps_per_second": 2.
|
| 138 |
"step": 150
|
| 139 |
},
|
| 140 |
{
|
| 141 |
"epoch": 0.20253164556962025,
|
| 142 |
-
"grad_norm": 0.
|
| 143 |
"learning_rate": 4.6624472573839666e-05,
|
| 144 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 145 |
"step": 160
|
| 146 |
},
|
| 147 |
{
|
| 148 |
"epoch": 0.21518987341772153,
|
| 149 |
-
"grad_norm": 0.
|
| 150 |
"learning_rate": 4.641350210970464e-05,
|
| 151 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 152 |
"step": 170
|
| 153 |
},
|
| 154 |
{
|
| 155 |
"epoch": 0.22784810126582278,
|
| 156 |
-
"grad_norm": 0.
|
| 157 |
"learning_rate": 4.6202531645569625e-05,
|
| 158 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 159 |
"step": 180
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 0.24050632911392406,
|
| 163 |
-
"grad_norm": 0.
|
| 164 |
"learning_rate": 4.59915611814346e-05,
|
| 165 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 166 |
"step": 190
|
| 167 |
},
|
| 168 |
{
|
| 169 |
"epoch": 0.25316455696202533,
|
| 170 |
-
"grad_norm": 0.
|
| 171 |
"learning_rate": 4.5780590717299585e-05,
|
| 172 |
-
"loss": 0.
|
| 173 |
"step": 200
|
| 174 |
},
|
| 175 |
{
|
| 176 |
"epoch": 0.25316455696202533,
|
| 177 |
-
"eval_loss": 0.
|
| 178 |
-
"eval_runtime":
|
| 179 |
-
"eval_samples_per_second":
|
| 180 |
-
"eval_steps_per_second": 2.
|
| 181 |
"step": 200
|
| 182 |
},
|
| 183 |
{
|
| 184 |
"epoch": 0.26582278481012656,
|
| 185 |
-
"grad_norm": 0.
|
| 186 |
"learning_rate": 4.556962025316456e-05,
|
| 187 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 188 |
"step": 210
|
| 189 |
},
|
| 190 |
{
|
| 191 |
"epoch": 0.27848101265822783,
|
| 192 |
-
"grad_norm": 0.
|
| 193 |
"learning_rate": 4.535864978902954e-05,
|
| 194 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 195 |
"step": 220
|
| 196 |
},
|
| 197 |
{
|
| 198 |
"epoch": 0.2911392405063291,
|
| 199 |
-
"grad_norm": 0.
|
| 200 |
"learning_rate": 4.5147679324894514e-05,
|
| 201 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 202 |
"step": 230
|
| 203 |
},
|
| 204 |
{
|
| 205 |
"epoch": 0.3037974683544304,
|
| 206 |
-
"grad_norm": 0.
|
| 207 |
"learning_rate": 4.49367088607595e-05,
|
| 208 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 209 |
"step": 240
|
| 210 |
},
|
| 211 |
{
|
| 212 |
"epoch": 0.31645569620253167,
|
| 213 |
-
"grad_norm":
|
| 214 |
"learning_rate": 4.4725738396624474e-05,
|
| 215 |
-
"loss": 0.
|
| 216 |
"step": 250
|
| 217 |
},
|
| 218 |
{
|
| 219 |
"epoch": 0.31645569620253167,
|
| 220 |
-
"eval_loss": 0.
|
| 221 |
-
"eval_runtime": 12.
|
| 222 |
-
"eval_samples_per_second": 39.
|
| 223 |
-
"eval_steps_per_second": 2.
|
| 224 |
"step": 250
|
| 225 |
},
|
| 226 |
{
|
| 227 |
"epoch": 0.3291139240506329,
|
| 228 |
-
"grad_norm": 0.
|
| 229 |
"learning_rate": 4.451476793248946e-05,
|
| 230 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 231 |
"step": 260
|
| 232 |
},
|
| 233 |
{
|
| 234 |
"epoch": 0.34177215189873417,
|
| 235 |
-
"grad_norm": 0.
|
| 236 |
"learning_rate": 4.430379746835443e-05,
|
| 237 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 238 |
"step": 270
|
| 239 |
},
|
| 240 |
{
|
| 241 |
"epoch": 0.35443037974683544,
|
| 242 |
-
"grad_norm": 0.
|
| 243 |
"learning_rate": 4.409282700421941e-05,
|
| 244 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 245 |
"step": 280
|
| 246 |
},
|
| 247 |
{
|
| 248 |
"epoch": 0.3670886075949367,
|
| 249 |
-
"grad_norm": 0.
|
| 250 |
"learning_rate": 4.388185654008439e-05,
|
| 251 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 252 |
"step": 290
|
| 253 |
},
|
| 254 |
{
|
| 255 |
"epoch": 0.379746835443038,
|
| 256 |
-
"grad_norm": 0.
|
| 257 |
"learning_rate": 4.367088607594937e-05,
|
| 258 |
-
"loss": 0.
|
| 259 |
"step": 300
|
| 260 |
},
|
| 261 |
{
|
| 262 |
"epoch": 0.379746835443038,
|
| 263 |
-
"eval_loss": 0.
|
| 264 |
-
"eval_runtime": 12.
|
| 265 |
-
"eval_samples_per_second": 39.
|
| 266 |
-
"eval_steps_per_second": 2.
|
| 267 |
"step": 300
|
| 268 |
},
|
| 269 |
{
|
| 270 |
"epoch": 0.3924050632911392,
|
| 271 |
-
"grad_norm": 0.
|
| 272 |
"learning_rate": 4.345991561181435e-05,
|
| 273 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 274 |
"step": 310
|
| 275 |
},
|
| 276 |
{
|
| 277 |
"epoch": 0.4050632911392405,
|
| 278 |
-
"grad_norm": 0.
|
| 279 |
"learning_rate": 4.324894514767933e-05,
|
| 280 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 281 |
"step": 320
|
| 282 |
},
|
| 283 |
{
|
| 284 |
"epoch": 0.4177215189873418,
|
| 285 |
-
"grad_norm": 0.
|
| 286 |
"learning_rate": 4.3037974683544305e-05,
|
| 287 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 288 |
"step": 330
|
| 289 |
},
|
| 290 |
{
|
| 291 |
"epoch": 0.43037974683544306,
|
| 292 |
-
"grad_norm": 0.
|
| 293 |
"learning_rate": 4.282700421940928e-05,
|
| 294 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 295 |
"step": 340
|
| 296 |
},
|
| 297 |
{
|
| 298 |
"epoch": 0.4430379746835443,
|
| 299 |
-
"grad_norm": 0.
|
| 300 |
"learning_rate": 4.2616033755274265e-05,
|
| 301 |
-
"loss": 0.
|
| 302 |
"step": 350
|
| 303 |
},
|
| 304 |
{
|
| 305 |
"epoch": 0.4430379746835443,
|
| 306 |
-
"eval_loss": 0.
|
| 307 |
-
"eval_runtime":
|
| 308 |
-
"eval_samples_per_second":
|
| 309 |
-
"eval_steps_per_second": 2.
|
| 310 |
"step": 350
|
| 311 |
},
|
| 312 |
{
|
| 313 |
"epoch": 0.45569620253164556,
|
| 314 |
-
"grad_norm": 0.
|
| 315 |
"learning_rate": 4.240506329113924e-05,
|
| 316 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 317 |
"step": 360
|
| 318 |
},
|
| 319 |
{
|
| 320 |
"epoch": 0.46835443037974683,
|
| 321 |
-
"grad_norm": 0.
|
| 322 |
"learning_rate": 4.2194092827004224e-05,
|
| 323 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 324 |
"step": 370
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 0.4810126582278481,
|
| 328 |
-
"grad_norm": 0.
|
| 329 |
"learning_rate": 4.19831223628692e-05,
|
| 330 |
"loss": 0.3661,
|
| 331 |
"step": 380
|
| 332 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 333 |
{
|
| 334 |
"epoch": 0.4936708860759494,
|
| 335 |
-
"grad_norm": 0.
|
| 336 |
"learning_rate": 4.177215189873418e-05,
|
| 337 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 338 |
"step": 390
|
| 339 |
},
|
| 340 |
{
|
| 341 |
"epoch": 0.5063291139240507,
|
| 342 |
-
"grad_norm": 0.
|
| 343 |
"learning_rate": 4.1561181434599153e-05,
|
| 344 |
-
"loss": 0.
|
| 345 |
"step": 400
|
| 346 |
},
|
| 347 |
{
|
| 348 |
"epoch": 0.5063291139240507,
|
| 349 |
-
"eval_loss": 0.
|
| 350 |
-
"eval_runtime":
|
| 351 |
-
"eval_samples_per_second":
|
| 352 |
-
"eval_steps_per_second": 2.
|
| 353 |
"step": 400
|
| 354 |
},
|
| 355 |
{
|
| 356 |
"epoch": 0.5189873417721519,
|
| 357 |
-
"grad_norm": 0.
|
| 358 |
"learning_rate": 4.135021097046414e-05,
|
| 359 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 360 |
"step": 410
|
| 361 |
},
|
| 362 |
{
|
| 363 |
"epoch": 0.5316455696202531,
|
| 364 |
-
"grad_norm": 0.
|
| 365 |
"learning_rate": 4.113924050632912e-05,
|
| 366 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 367 |
"step": 420
|
| 368 |
},
|
| 369 |
{
|
| 370 |
"epoch": 0.5443037974683544,
|
| 371 |
-
"grad_norm": 0.
|
| 372 |
"learning_rate": 4.0928270042194096e-05,
|
| 373 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 374 |
"step": 430
|
| 375 |
},
|
| 376 |
{
|
| 377 |
"epoch": 0.5569620253164557,
|
| 378 |
-
"grad_norm": 0.
|
| 379 |
"learning_rate": 4.071729957805907e-05,
|
| 380 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 381 |
"step": 440
|
| 382 |
},
|
| 383 |
{
|
| 384 |
"epoch": 0.569620253164557,
|
| 385 |
-
"grad_norm": 0.
|
| 386 |
"learning_rate": 4.050632911392405e-05,
|
| 387 |
-
"loss": 0.
|
| 388 |
"step": 450
|
| 389 |
},
|
| 390 |
{
|
| 391 |
"epoch": 0.569620253164557,
|
| 392 |
-
"eval_loss": 0.
|
| 393 |
-
"eval_runtime":
|
| 394 |
-
"eval_samples_per_second":
|
| 395 |
-
"eval_steps_per_second": 2.
|
| 396 |
"step": 450
|
| 397 |
},
|
| 398 |
{
|
| 399 |
"epoch": 0.5822784810126582,
|
| 400 |
-
"grad_norm": 0.
|
| 401 |
"learning_rate": 4.029535864978903e-05,
|
| 402 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 403 |
"step": 460
|
| 404 |
},
|
| 405 |
{
|
| 406 |
"epoch": 0.5949367088607594,
|
| 407 |
-
"grad_norm":
|
| 408 |
"learning_rate": 4.008438818565401e-05,
|
| 409 |
"loss": 0.3507,
|
| 410 |
"step": 470
|
| 411 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 412 |
{
|
| 413 |
"epoch": 0.6075949367088608,
|
| 414 |
-
"grad_norm": 0.
|
| 415 |
"learning_rate": 3.987341772151899e-05,
|
| 416 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 417 |
"step": 480
|
| 418 |
},
|
| 419 |
{
|
| 420 |
"epoch": 0.620253164556962,
|
| 421 |
-
"grad_norm": 0.
|
| 422 |
"learning_rate": 3.966244725738397e-05,
|
| 423 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 424 |
"step": 490
|
| 425 |
},
|
| 426 |
{
|
| 427 |
"epoch": 0.6329113924050633,
|
| 428 |
-
"grad_norm": 0.
|
| 429 |
"learning_rate": 3.945147679324895e-05,
|
| 430 |
-
"loss": 0.
|
| 431 |
"step": 500
|
| 432 |
},
|
| 433 |
{
|
| 434 |
"epoch": 0.6329113924050633,
|
| 435 |
-
"eval_loss": 0.
|
| 436 |
-
"eval_runtime":
|
| 437 |
-
"eval_samples_per_second":
|
| 438 |
-
"eval_steps_per_second": 2.
|
| 439 |
"step": 500
|
| 440 |
},
|
| 441 |
{
|
| 442 |
"epoch": 0.6455696202531646,
|
| 443 |
-
"grad_norm": 0.
|
| 444 |
"learning_rate": 3.924050632911392e-05,
|
| 445 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 446 |
"step": 510
|
| 447 |
},
|
| 448 |
{
|
| 449 |
"epoch": 0.6582278481012658,
|
| 450 |
-
"grad_norm": 0.
|
| 451 |
"learning_rate": 3.9029535864978904e-05,
|
| 452 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 453 |
"step": 520
|
| 454 |
},
|
| 455 |
{
|
| 456 |
"epoch": 0.6708860759493671,
|
| 457 |
-
"grad_norm": 0.
|
| 458 |
"learning_rate": 3.881856540084388e-05,
|
| 459 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 460 |
"step": 530
|
| 461 |
},
|
| 462 |
{
|
| 463 |
"epoch": 0.6835443037974683,
|
| 464 |
-
"grad_norm": 0.
|
| 465 |
"learning_rate": 3.8607594936708864e-05,
|
| 466 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 467 |
"step": 540
|
| 468 |
},
|
| 469 |
{
|
| 470 |
"epoch": 0.6962025316455697,
|
| 471 |
-
"grad_norm": 1.
|
| 472 |
"learning_rate": 3.839662447257384e-05,
|
| 473 |
-
"loss": 0.
|
| 474 |
"step": 550
|
| 475 |
},
|
| 476 |
{
|
| 477 |
"epoch": 0.6962025316455697,
|
| 478 |
-
"eval_loss": 0.
|
| 479 |
-
"eval_runtime": 12.
|
| 480 |
-
"eval_samples_per_second": 39.
|
| 481 |
-
"eval_steps_per_second": 2.
|
| 482 |
"step": 550
|
| 483 |
},
|
| 484 |
{
|
| 485 |
"epoch": 0.7088607594936709,
|
| 486 |
-
"grad_norm": 0.
|
| 487 |
"learning_rate": 3.8185654008438823e-05,
|
| 488 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 489 |
"step": 560
|
| 490 |
},
|
| 491 |
{
|
| 492 |
"epoch": 0.7215189873417721,
|
| 493 |
-
"grad_norm": 0.
|
| 494 |
"learning_rate": 3.79746835443038e-05,
|
| 495 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 496 |
"step": 570
|
| 497 |
},
|
| 498 |
{
|
| 499 |
"epoch": 0.7341772151898734,
|
| 500 |
-
"grad_norm": 0.
|
| 501 |
"learning_rate": 3.7763713080168776e-05,
|
| 502 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 503 |
"step": 580
|
| 504 |
},
|
| 505 |
{
|
| 506 |
"epoch": 0.7468354430379747,
|
| 507 |
-
"grad_norm": 0.
|
| 508 |
"learning_rate": 3.755274261603376e-05,
|
| 509 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 510 |
"step": 590
|
| 511 |
},
|
| 512 |
{
|
| 513 |
"epoch": 0.759493670886076,
|
| 514 |
-
"grad_norm": 0.
|
| 515 |
"learning_rate": 3.7341772151898736e-05,
|
| 516 |
-
"loss": 0.
|
| 517 |
"step": 600
|
| 518 |
},
|
| 519 |
{
|
| 520 |
"epoch": 0.759493670886076,
|
| 521 |
-
"eval_loss": 0.
|
| 522 |
-
"eval_runtime":
|
| 523 |
-
"eval_samples_per_second":
|
| 524 |
-
"eval_steps_per_second": 2.
|
| 525 |
"step": 600
|
| 526 |
},
|
| 527 |
{
|
| 528 |
"epoch": 0.7721518987341772,
|
| 529 |
-
"grad_norm": 1.
|
| 530 |
"learning_rate": 3.713080168776372e-05,
|
| 531 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 532 |
"step": 610
|
| 533 |
},
|
| 534 |
{
|
| 535 |
"epoch": 0.7848101265822784,
|
| 536 |
-
"grad_norm": 1.
|
| 537 |
"learning_rate": 3.6919831223628695e-05,
|
| 538 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 539 |
"step": 620
|
| 540 |
},
|
| 541 |
{
|
| 542 |
"epoch": 0.7974683544303798,
|
| 543 |
-
"grad_norm": 0.
|
| 544 |
"learning_rate": 3.670886075949367e-05,
|
| 545 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 546 |
"step": 630
|
| 547 |
},
|
| 548 |
{
|
| 549 |
"epoch": 0.810126582278481,
|
| 550 |
-
"grad_norm": 1.
|
| 551 |
"learning_rate": 3.649789029535865e-05,
|
| 552 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 553 |
"step": 640
|
| 554 |
},
|
| 555 |
{
|
| 556 |
"epoch": 0.8227848101265823,
|
| 557 |
-
"grad_norm": 1.
|
| 558 |
"learning_rate": 3.628691983122363e-05,
|
| 559 |
-
"loss": 0.
|
| 560 |
"step": 650
|
| 561 |
},
|
| 562 |
{
|
| 563 |
"epoch": 0.8227848101265823,
|
| 564 |
-
"eval_loss": 0.
|
| 565 |
-
"eval_runtime":
|
| 566 |
-
"eval_samples_per_second":
|
| 567 |
-
"eval_steps_per_second": 2.
|
| 568 |
"step": 650
|
| 569 |
},
|
| 570 |
{
|
| 571 |
"epoch": 0.8354430379746836,
|
| 572 |
-
"grad_norm": 1.
|
| 573 |
"learning_rate": 3.607594936708861e-05,
|
| 574 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 575 |
"step": 660
|
| 576 |
},
|
| 577 |
{
|
| 578 |
"epoch": 0.8481012658227848,
|
| 579 |
-
"grad_norm":
|
| 580 |
"learning_rate": 3.586497890295359e-05,
|
| 581 |
"loss": 0.3315,
|
| 582 |
"step": 670
|
| 583 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 584 |
{
|
| 585 |
"epoch": 0.8607594936708861,
|
| 586 |
-
"grad_norm": 0.
|
| 587 |
"learning_rate": 3.565400843881857e-05,
|
| 588 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 589 |
"step": 680
|
| 590 |
},
|
| 591 |
{
|
| 592 |
"epoch": 0.8734177215189873,
|
| 593 |
-
"grad_norm": 1.
|
| 594 |
"learning_rate": 3.5443037974683544e-05,
|
| 595 |
-
"loss": 0.
|
| 596 |
"step": 690
|
| 597 |
},
|
| 598 |
{
|
| 599 |
-
"epoch": 0.
|
| 600 |
-
"
|
| 601 |
-
"
|
| 602 |
-
"
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 603 |
"step": 700
|
| 604 |
},
|
| 605 |
{
|
| 606 |
"epoch": 0.8860759493670886,
|
| 607 |
-
"eval_loss": 0.
|
| 608 |
-
"eval_runtime": 12.
|
| 609 |
-
"eval_samples_per_second": 39.
|
| 610 |
-
"eval_steps_per_second": 2.
|
| 611 |
"step": 700
|
| 612 |
},
|
| 613 |
{
|
| 614 |
"epoch": 0.8987341772151899,
|
| 615 |
-
"grad_norm": 1.
|
| 616 |
"learning_rate": 3.50210970464135e-05,
|
| 617 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 618 |
"step": 710
|
| 619 |
},
|
| 620 |
{
|
| 621 |
"epoch": 0.9113924050632911,
|
| 622 |
-
"grad_norm": 0.
|
| 623 |
"learning_rate": 3.4810126582278487e-05,
|
| 624 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 625 |
"step": 720
|
| 626 |
},
|
| 627 |
{
|
| 628 |
"epoch": 0.9240506329113924,
|
| 629 |
-
"grad_norm": 0.
|
| 630 |
"learning_rate": 3.459915611814346e-05,
|
| 631 |
"loss": 0.3115,
|
| 632 |
"step": 730
|
| 633 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 634 |
{
|
| 635 |
"epoch": 0.9367088607594937,
|
| 636 |
-
"grad_norm": 0.
|
| 637 |
"learning_rate": 3.438818565400844e-05,
|
| 638 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 639 |
"step": 740
|
| 640 |
},
|
| 641 |
{
|
| 642 |
"epoch": 0.9493670886075949,
|
| 643 |
-
"grad_norm": 1.
|
| 644 |
"learning_rate": 3.4177215189873416e-05,
|
| 645 |
-
"loss": 0.
|
| 646 |
"step": 750
|
| 647 |
},
|
| 648 |
{
|
| 649 |
"epoch": 0.9493670886075949,
|
| 650 |
-
"eval_loss": 0.
|
| 651 |
-
"eval_runtime": 12.
|
| 652 |
-
"eval_samples_per_second": 39.
|
| 653 |
-
"eval_steps_per_second": 2.
|
| 654 |
"step": 750
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 0.9620253164556962,
|
| 658 |
-
"grad_norm": 0.
|
| 659 |
"learning_rate": 3.39662447257384e-05,
|
| 660 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 661 |
"step": 760
|
| 662 |
},
|
| 663 |
{
|
| 664 |
"epoch": 0.9746835443037974,
|
| 665 |
-
"grad_norm": 0.
|
| 666 |
"learning_rate": 3.3755274261603375e-05,
|
| 667 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 668 |
"step": 770
|
| 669 |
},
|
| 670 |
{
|
| 671 |
"epoch": 0.9873417721518988,
|
| 672 |
-
"grad_norm": 0.
|
| 673 |
"learning_rate": 3.354430379746836e-05,
|
| 674 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 675 |
"step": 780
|
| 676 |
},
|
| 677 |
{
|
| 678 |
"epoch": 1.0,
|
| 679 |
-
"grad_norm": 1.
|
| 680 |
"learning_rate": 3.3333333333333335e-05,
|
| 681 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 682 |
"step": 790
|
| 683 |
},
|
| 684 |
{
|
| 685 |
"epoch": 1.0126582278481013,
|
| 686 |
-
"grad_norm": 0.
|
| 687 |
"learning_rate": 3.312236286919831e-05,
|
| 688 |
-
"loss": 0.
|
| 689 |
"step": 800
|
| 690 |
},
|
| 691 |
{
|
| 692 |
"epoch": 1.0126582278481013,
|
| 693 |
-
"eval_loss": 0.
|
| 694 |
-
"eval_runtime":
|
| 695 |
-
"eval_samples_per_second":
|
| 696 |
-
"eval_steps_per_second": 2.
|
| 697 |
"step": 800
|
| 698 |
},
|
| 699 |
{
|
| 700 |
"epoch": 1.0253164556962024,
|
| 701 |
-
"grad_norm": 1.
|
| 702 |
"learning_rate": 3.291139240506329e-05,
|
| 703 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 704 |
"step": 810
|
| 705 |
},
|
| 706 |
{
|
| 707 |
"epoch": 1.0379746835443038,
|
| 708 |
-
"grad_norm": 1.
|
| 709 |
"learning_rate": 3.270042194092827e-05,
|
| 710 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 711 |
"step": 820
|
| 712 |
},
|
| 713 |
{
|
| 714 |
"epoch": 1.0506329113924051,
|
| 715 |
-
"grad_norm": 0.
|
| 716 |
"learning_rate": 3.248945147679325e-05,
|
| 717 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 718 |
"step": 830
|
| 719 |
},
|
| 720 |
{
|
| 721 |
"epoch": 1.0632911392405062,
|
| 722 |
-
"grad_norm": 0.
|
| 723 |
"learning_rate": 3.227848101265823e-05,
|
| 724 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 725 |
"step": 840
|
| 726 |
},
|
| 727 |
{
|
| 728 |
"epoch": 1.0759493670886076,
|
| 729 |
-
"grad_norm": 1.
|
| 730 |
"learning_rate": 3.2067510548523214e-05,
|
| 731 |
-
"loss": 0.
|
| 732 |
"step": 850
|
| 733 |
},
|
| 734 |
{
|
| 735 |
"epoch": 1.0759493670886076,
|
| 736 |
-
"eval_loss": 0.
|
| 737 |
-
"eval_runtime": 11.
|
| 738 |
-
"eval_samples_per_second": 40.
|
| 739 |
"eval_steps_per_second": 2.503,
|
| 740 |
"step": 850
|
| 741 |
},
|
| 742 |
{
|
| 743 |
"epoch": 1.0886075949367089,
|
| 744 |
-
"grad_norm": 1.
|
| 745 |
"learning_rate": 3.185654008438819e-05,
|
| 746 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 747 |
"step": 860
|
| 748 |
},
|
| 749 |
{
|
| 750 |
"epoch": 1.1012658227848102,
|
| 751 |
-
"grad_norm": 1.
|
| 752 |
"learning_rate": 3.1645569620253167e-05,
|
| 753 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 754 |
"step": 870
|
| 755 |
},
|
| 756 |
{
|
| 757 |
"epoch": 1.1139240506329113,
|
| 758 |
-
"grad_norm": 1.
|
| 759 |
"learning_rate": 3.143459915611814e-05,
|
| 760 |
"loss": 0.2435,
|
| 761 |
"step": 880
|
| 762 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 763 |
{
|
| 764 |
"epoch": 1.1265822784810127,
|
| 765 |
-
"grad_norm": 0.
|
| 766 |
"learning_rate": 3.1223628691983126e-05,
|
| 767 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 768 |
"step": 890
|
| 769 |
},
|
| 770 |
{
|
| 771 |
"epoch": 1.139240506329114,
|
| 772 |
-
"grad_norm":
|
| 773 |
"learning_rate": 3.10126582278481e-05,
|
| 774 |
-
"loss": 0.
|
| 775 |
"step": 900
|
| 776 |
},
|
| 777 |
{
|
| 778 |
"epoch": 1.139240506329114,
|
| 779 |
-
"eval_loss": 0.
|
| 780 |
-
"eval_runtime": 11.
|
| 781 |
-
"eval_samples_per_second": 40.
|
| 782 |
-
"eval_steps_per_second": 2.
|
| 783 |
"step": 900
|
| 784 |
},
|
| 785 |
{
|
| 786 |
"epoch": 1.1518987341772151,
|
| 787 |
-
"grad_norm": 1.
|
| 788 |
"learning_rate": 3.0801687763713086e-05,
|
| 789 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 790 |
"step": 910
|
| 791 |
},
|
| 792 |
{
|
| 793 |
"epoch": 1.1645569620253164,
|
| 794 |
-
"grad_norm": 1.
|
| 795 |
"learning_rate": 3.059071729957806e-05,
|
| 796 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 797 |
"step": 920
|
| 798 |
},
|
| 799 |
{
|
| 800 |
"epoch": 1.1772151898734178,
|
| 801 |
-
"grad_norm": 0.
|
| 802 |
"learning_rate": 3.0379746835443042e-05,
|
| 803 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 804 |
"step": 930
|
| 805 |
},
|
| 806 |
{
|
| 807 |
"epoch": 1.189873417721519,
|
| 808 |
-
"grad_norm": 0.
|
| 809 |
"learning_rate": 3.0168776371308015e-05,
|
| 810 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 811 |
"step": 940
|
| 812 |
},
|
| 813 |
{
|
| 814 |
"epoch": 1.2025316455696202,
|
| 815 |
-
"grad_norm": 1.
|
| 816 |
"learning_rate": 2.9957805907172998e-05,
|
| 817 |
-
"loss": 0.
|
| 818 |
"step": 950
|
| 819 |
},
|
| 820 |
{
|
| 821 |
"epoch": 1.2025316455696202,
|
| 822 |
-
"eval_loss": 0.
|
| 823 |
-
"eval_runtime": 12.
|
| 824 |
-
"eval_samples_per_second": 39.
|
| 825 |
-
"eval_steps_per_second": 2.
|
| 826 |
"step": 950
|
| 827 |
},
|
| 828 |
{
|
| 829 |
"epoch": 1.2151898734177216,
|
| 830 |
-
"grad_norm":
|
| 831 |
"learning_rate": 2.9746835443037974e-05,
|
| 832 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 833 |
"step": 960
|
| 834 |
},
|
| 835 |
{
|
| 836 |
"epoch": 1.2278481012658227,
|
| 837 |
-
"grad_norm": 1.
|
| 838 |
"learning_rate": 2.9535864978902954e-05,
|
| 839 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 840 |
"step": 970
|
| 841 |
},
|
| 842 |
{
|
| 843 |
"epoch": 1.240506329113924,
|
| 844 |
-
"grad_norm": 1.
|
| 845 |
"learning_rate": 2.9324894514767937e-05,
|
| 846 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 847 |
"step": 980
|
| 848 |
},
|
| 849 |
{
|
| 850 |
"epoch": 1.2531645569620253,
|
| 851 |
-
"grad_norm":
|
| 852 |
"learning_rate": 2.9113924050632914e-05,
|
| 853 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 854 |
"step": 990
|
| 855 |
},
|
| 856 |
{
|
| 857 |
"epoch": 1.2658227848101267,
|
| 858 |
-
"grad_norm": 0.
|
| 859 |
"learning_rate": 2.8902953586497894e-05,
|
| 860 |
-
"loss": 0.
|
| 861 |
"step": 1000
|
| 862 |
},
|
| 863 |
{
|
| 864 |
"epoch": 1.2658227848101267,
|
| 865 |
-
"eval_loss": 0.
|
| 866 |
-
"eval_runtime": 12.
|
| 867 |
-
"eval_samples_per_second": 39.
|
| 868 |
-
"eval_steps_per_second": 2.
|
| 869 |
"step": 1000
|
| 870 |
},
|
| 871 |
{
|
| 872 |
"epoch": 1.2784810126582278,
|
| 873 |
-
"grad_norm": 1.
|
| 874 |
"learning_rate": 2.869198312236287e-05,
|
| 875 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 876 |
"step": 1010
|
| 877 |
},
|
| 878 |
{
|
| 879 |
"epoch": 1.2911392405063291,
|
| 880 |
-
"grad_norm": 0.
|
| 881 |
"learning_rate": 2.848101265822785e-05,
|
| 882 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 883 |
"step": 1020
|
| 884 |
},
|
| 885 |
{
|
| 886 |
"epoch": 1.3037974683544304,
|
| 887 |
-
"grad_norm": 1.
|
| 888 |
"learning_rate": 2.8270042194092826e-05,
|
| 889 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 890 |
"step": 1030
|
| 891 |
},
|
| 892 |
{
|
| 893 |
"epoch": 1.3164556962025316,
|
| 894 |
-
"grad_norm": 0.
|
| 895 |
"learning_rate": 2.805907172995781e-05,
|
| 896 |
"loss": 0.24,
|
| 897 |
"step": 1040
|
| 898 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 899 |
{
|
| 900 |
"epoch": 1.3291139240506329,
|
| 901 |
-
"grad_norm": 1.
|
| 902 |
"learning_rate": 2.7848101265822786e-05,
|
| 903 |
-
"loss": 0.
|
| 904 |
"step": 1050
|
| 905 |
},
|
| 906 |
{
|
| 907 |
"epoch": 1.3291139240506329,
|
| 908 |
-
"eval_loss": 0.
|
| 909 |
-
"eval_runtime": 12.
|
| 910 |
-
"eval_samples_per_second": 39.
|
| 911 |
-
"eval_steps_per_second": 2.
|
| 912 |
"step": 1050
|
| 913 |
},
|
| 914 |
{
|
| 915 |
"epoch": 1.3417721518987342,
|
| 916 |
-
"grad_norm": 1.
|
| 917 |
"learning_rate": 2.7637130801687766e-05,
|
| 918 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 919 |
"step": 1060
|
| 920 |
},
|
| 921 |
{
|
| 922 |
"epoch": 1.3544303797468356,
|
| 923 |
-
"grad_norm": 1.
|
| 924 |
"learning_rate": 2.7426160337552742e-05,
|
| 925 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 926 |
"step": 1070
|
| 927 |
},
|
| 928 |
{
|
| 929 |
"epoch": 1.3670886075949367,
|
| 930 |
-
"grad_norm": 1.
|
| 931 |
"learning_rate": 2.7215189873417722e-05,
|
| 932 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 933 |
"step": 1080
|
| 934 |
},
|
| 935 |
{
|
| 936 |
"epoch": 1.379746835443038,
|
| 937 |
-
"grad_norm": 1.
|
| 938 |
"learning_rate": 2.7004219409282698e-05,
|
| 939 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 940 |
"step": 1090
|
| 941 |
},
|
| 942 |
{
|
| 943 |
"epoch": 1.3924050632911391,
|
| 944 |
-
"grad_norm": 1.
|
| 945 |
"learning_rate": 2.679324894514768e-05,
|
| 946 |
-
"loss": 0.
|
| 947 |
"step": 1100
|
| 948 |
},
|
| 949 |
{
|
| 950 |
"epoch": 1.3924050632911391,
|
| 951 |
-
"eval_loss": 0.
|
| 952 |
-
"eval_runtime": 12.
|
| 953 |
-
"eval_samples_per_second": 39.
|
| 954 |
-
"eval_steps_per_second": 2.
|
| 955 |
"step": 1100
|
| 956 |
},
|
| 957 |
{
|
| 958 |
"epoch": 1.4050632911392404,
|
| 959 |
-
"grad_norm": 1.
|
| 960 |
"learning_rate": 2.6582278481012658e-05,
|
| 961 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 962 |
"step": 1110
|
| 963 |
},
|
| 964 |
{
|
| 965 |
"epoch": 1.4177215189873418,
|
| 966 |
-
"grad_norm": 1.
|
| 967 |
"learning_rate": 2.6371308016877638e-05,
|
| 968 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 969 |
"step": 1120
|
| 970 |
},
|
| 971 |
{
|
| 972 |
"epoch": 1.4303797468354431,
|
| 973 |
-
"grad_norm": 1.
|
| 974 |
"learning_rate": 2.616033755274262e-05,
|
| 975 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 976 |
"step": 1130
|
| 977 |
},
|
| 978 |
{
|
| 979 |
"epoch": 1.4430379746835442,
|
| 980 |
-
"grad_norm": 1.
|
| 981 |
"learning_rate": 2.5949367088607597e-05,
|
| 982 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 983 |
"step": 1140
|
| 984 |
},
|
| 985 |
{
|
| 986 |
"epoch": 1.4556962025316456,
|
| 987 |
-
"grad_norm": 0.
|
| 988 |
"learning_rate": 2.5738396624472577e-05,
|
| 989 |
-
"loss": 0.
|
| 990 |
"step": 1150
|
| 991 |
},
|
| 992 |
{
|
| 993 |
"epoch": 1.4556962025316456,
|
| 994 |
-
"eval_loss": 0.
|
| 995 |
-
"eval_runtime":
|
| 996 |
-
"eval_samples_per_second":
|
| 997 |
-
"eval_steps_per_second": 2.
|
| 998 |
"step": 1150
|
| 999 |
},
|
| 1000 |
{
|
| 1001 |
"epoch": 1.4683544303797469,
|
| 1002 |
-
"grad_norm": 0.
|
| 1003 |
"learning_rate": 2.5527426160337553e-05,
|
| 1004 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1005 |
"step": 1160
|
| 1006 |
},
|
| 1007 |
{
|
| 1008 |
"epoch": 1.481012658227848,
|
| 1009 |
-
"grad_norm": 1.
|
| 1010 |
"learning_rate": 2.5316455696202533e-05,
|
| 1011 |
"loss": 0.2321,
|
| 1012 |
"step": 1170
|
| 1013 |
},
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1014 |
{
|
| 1015 |
"epoch": 1.4936708860759493,
|
| 1016 |
-
"grad_norm": 1.
|
| 1017 |
"learning_rate": 2.510548523206751e-05,
|
| 1018 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1019 |
"step": 1180
|
| 1020 |
},
|
| 1021 |
{
|
| 1022 |
"epoch": 1.5063291139240507,
|
| 1023 |
-
"grad_norm": 1.
|
| 1024 |
"learning_rate": 2.4894514767932493e-05,
|
| 1025 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1026 |
"step": 1190
|
| 1027 |
},
|
| 1028 |
{
|
| 1029 |
"epoch": 1.518987341772152,
|
| 1030 |
-
"grad_norm":
|
| 1031 |
"learning_rate": 2.468354430379747e-05,
|
| 1032 |
-
"loss": 0.
|
| 1033 |
"step": 1200
|
| 1034 |
},
|
| 1035 |
{
|
| 1036 |
"epoch": 1.518987341772152,
|
| 1037 |
-
"eval_loss": 0.
|
| 1038 |
-
"eval_runtime":
|
| 1039 |
-
"eval_samples_per_second":
|
| 1040 |
-
"eval_steps_per_second": 2.
|
| 1041 |
"step": 1200
|
| 1042 |
},
|
| 1043 |
{
|
| 1044 |
"epoch": 1.5316455696202531,
|
| 1045 |
-
"grad_norm": 0.
|
| 1046 |
"learning_rate": 2.447257383966245e-05,
|
| 1047 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1048 |
"step": 1210
|
| 1049 |
},
|
| 1050 |
{
|
| 1051 |
"epoch": 1.5443037974683544,
|
| 1052 |
-
"grad_norm": 1.
|
| 1053 |
"learning_rate": 2.426160337552743e-05,
|
| 1054 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1055 |
"step": 1220
|
| 1056 |
},
|
| 1057 |
{
|
| 1058 |
"epoch": 1.5569620253164556,
|
| 1059 |
-
"grad_norm": 1.
|
| 1060 |
"learning_rate": 2.4050632911392405e-05,
|
| 1061 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1062 |
"step": 1230
|
| 1063 |
},
|
| 1064 |
{
|
| 1065 |
"epoch": 1.5696202531645569,
|
| 1066 |
-
"grad_norm": 1.
|
| 1067 |
"learning_rate": 2.3839662447257385e-05,
|
| 1068 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1069 |
"step": 1240
|
| 1070 |
},
|
| 1071 |
{
|
| 1072 |
"epoch": 1.5822784810126582,
|
| 1073 |
-
"grad_norm": 1.
|
| 1074 |
"learning_rate": 2.3628691983122365e-05,
|
| 1075 |
-
"loss": 0.
|
| 1076 |
"step": 1250
|
| 1077 |
},
|
| 1078 |
{
|
| 1079 |
"epoch": 1.5822784810126582,
|
| 1080 |
-
"eval_loss": 0.
|
| 1081 |
-
"eval_runtime":
|
| 1082 |
-
"eval_samples_per_second":
|
| 1083 |
-
"eval_steps_per_second": 2.
|
| 1084 |
"step": 1250
|
| 1085 |
},
|
| 1086 |
{
|
| 1087 |
"epoch": 1.5949367088607596,
|
| 1088 |
-
"grad_norm": 1.
|
| 1089 |
"learning_rate": 2.341772151898734e-05,
|
| 1090 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1091 |
"step": 1260
|
| 1092 |
},
|
| 1093 |
{
|
| 1094 |
"epoch": 1.6075949367088609,
|
| 1095 |
-
"grad_norm": 1.
|
| 1096 |
"learning_rate": 2.320675105485232e-05,
|
| 1097 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1098 |
"step": 1270
|
| 1099 |
},
|
| 1100 |
{
|
| 1101 |
"epoch": 1.620253164556962,
|
| 1102 |
-
"grad_norm": 1.
|
| 1103 |
"learning_rate": 2.29957805907173e-05,
|
| 1104 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1105 |
"step": 1280
|
| 1106 |
},
|
| 1107 |
{
|
| 1108 |
"epoch": 1.6329113924050633,
|
| 1109 |
-
"grad_norm": 0.
|
| 1110 |
"learning_rate": 2.278481012658228e-05,
|
| 1111 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1112 |
"step": 1290
|
| 1113 |
},
|
| 1114 |
{
|
| 1115 |
"epoch": 1.6455696202531644,
|
| 1116 |
-
"grad_norm": 1.
|
| 1117 |
"learning_rate": 2.2573839662447257e-05,
|
| 1118 |
-
"loss": 0.
|
| 1119 |
"step": 1300
|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
"epoch": 1.6455696202531644,
|
| 1123 |
-
"eval_loss": 0.
|
| 1124 |
-
"eval_runtime": 11.
|
| 1125 |
-
"eval_samples_per_second": 40.
|
| 1126 |
-
"eval_steps_per_second": 2.
|
| 1127 |
"step": 1300
|
| 1128 |
},
|
| 1129 |
{
|
| 1130 |
"epoch": 1.6582278481012658,
|
| 1131 |
-
"grad_norm": 1.
|
| 1132 |
"learning_rate": 2.2362869198312237e-05,
|
| 1133 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1134 |
"step": 1310
|
| 1135 |
},
|
| 1136 |
{
|
| 1137 |
"epoch": 1.6708860759493671,
|
| 1138 |
-
"grad_norm": 1.
|
| 1139 |
"learning_rate": 2.2151898734177217e-05,
|
| 1140 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1141 |
"step": 1320
|
| 1142 |
},
|
| 1143 |
{
|
| 1144 |
"epoch": 1.6835443037974684,
|
| 1145 |
-
"grad_norm": 1.
|
| 1146 |
"learning_rate": 2.1940928270042196e-05,
|
| 1147 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1148 |
"step": 1330
|
| 1149 |
},
|
| 1150 |
{
|
| 1151 |
"epoch": 1.6962025316455698,
|
| 1152 |
-
"grad_norm": 1.
|
| 1153 |
"learning_rate": 2.1729957805907176e-05,
|
| 1154 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1155 |
"step": 1340
|
| 1156 |
},
|
| 1157 |
{
|
| 1158 |
"epoch": 1.7088607594936709,
|
| 1159 |
-
"grad_norm":
|
| 1160 |
"learning_rate": 2.1518987341772153e-05,
|
| 1161 |
-
"loss": 0.
|
| 1162 |
"step": 1350
|
| 1163 |
},
|
| 1164 |
{
|
| 1165 |
"epoch": 1.7088607594936709,
|
| 1166 |
-
"eval_loss": 0.
|
| 1167 |
-
"eval_runtime": 12.
|
| 1168 |
-
"eval_samples_per_second": 39.
|
| 1169 |
-
"eval_steps_per_second": 2.
|
| 1170 |
"step": 1350
|
| 1171 |
},
|
| 1172 |
{
|
| 1173 |
"epoch": 1.721518987341772,
|
| 1174 |
-
"grad_norm": 1.
|
| 1175 |
"learning_rate": 2.1308016877637132e-05,
|
| 1176 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1177 |
"step": 1360
|
| 1178 |
},
|
| 1179 |
{
|
| 1180 |
"epoch": 1.7341772151898733,
|
| 1181 |
-
"grad_norm": 1.
|
| 1182 |
"learning_rate": 2.1097046413502112e-05,
|
| 1183 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1184 |
"step": 1370
|
| 1185 |
},
|
| 1186 |
{
|
| 1187 |
"epoch": 1.7468354430379747,
|
| 1188 |
-
"grad_norm": 1.
|
| 1189 |
"learning_rate": 2.088607594936709e-05,
|
| 1190 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1191 |
"step": 1380
|
| 1192 |
},
|
| 1193 |
{
|
| 1194 |
"epoch": 1.759493670886076,
|
| 1195 |
-
"grad_norm": 1.
|
| 1196 |
"learning_rate": 2.067510548523207e-05,
|
| 1197 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1198 |
"step": 1390
|
| 1199 |
},
|
| 1200 |
{
|
| 1201 |
"epoch": 1.7721518987341773,
|
| 1202 |
-
"grad_norm": 1.
|
| 1203 |
"learning_rate": 2.0464135021097048e-05,
|
| 1204 |
-
"loss": 0.
|
| 1205 |
"step": 1400
|
| 1206 |
},
|
| 1207 |
{
|
| 1208 |
"epoch": 1.7721518987341773,
|
| 1209 |
-
"eval_loss": 0.
|
| 1210 |
-
"eval_runtime":
|
| 1211 |
-
"eval_samples_per_second":
|
| 1212 |
-
"eval_steps_per_second": 2.
|
| 1213 |
"step": 1400
|
| 1214 |
},
|
| 1215 |
{
|
| 1216 |
"epoch": 1.7848101265822784,
|
| 1217 |
-
"grad_norm":
|
| 1218 |
"learning_rate": 2.0253164556962025e-05,
|
| 1219 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1220 |
"step": 1410
|
| 1221 |
},
|
| 1222 |
{
|
| 1223 |
"epoch": 1.7974683544303798,
|
| 1224 |
-
"grad_norm": 1.
|
| 1225 |
"learning_rate": 2.0042194092827004e-05,
|
| 1226 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1227 |
"step": 1420
|
| 1228 |
},
|
| 1229 |
{
|
| 1230 |
"epoch": 1.810126582278481,
|
| 1231 |
-
"grad_norm": 1.
|
| 1232 |
"learning_rate": 1.9831223628691984e-05,
|
| 1233 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1234 |
"step": 1430
|
| 1235 |
},
|
| 1236 |
{
|
| 1237 |
"epoch": 1.8227848101265822,
|
| 1238 |
-
"grad_norm": 1.
|
| 1239 |
"learning_rate": 1.962025316455696e-05,
|
| 1240 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1241 |
"step": 1440
|
| 1242 |
},
|
| 1243 |
{
|
| 1244 |
"epoch": 1.8354430379746836,
|
| 1245 |
-
"grad_norm": 1.
|
| 1246 |
"learning_rate": 1.940928270042194e-05,
|
| 1247 |
-
"loss": 0.
|
| 1248 |
"step": 1450
|
| 1249 |
},
|
| 1250 |
{
|
| 1251 |
"epoch": 1.8354430379746836,
|
| 1252 |
-
"eval_loss": 0.
|
| 1253 |
-
"eval_runtime":
|
| 1254 |
-
"eval_samples_per_second":
|
| 1255 |
-
"eval_steps_per_second": 2.
|
| 1256 |
"step": 1450
|
| 1257 |
},
|
| 1258 |
{
|
| 1259 |
"epoch": 1.8481012658227849,
|
| 1260 |
-
"grad_norm": 1.
|
| 1261 |
"learning_rate": 1.919831223628692e-05,
|
| 1262 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1263 |
"step": 1460
|
| 1264 |
},
|
| 1265 |
{
|
| 1266 |
"epoch": 1.8607594936708862,
|
| 1267 |
-
"grad_norm": 1.
|
| 1268 |
"learning_rate": 1.89873417721519e-05,
|
| 1269 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1270 |
"step": 1470
|
| 1271 |
},
|
| 1272 |
{
|
| 1273 |
"epoch": 1.8734177215189873,
|
| 1274 |
-
"grad_norm": 1.
|
| 1275 |
"learning_rate": 1.877637130801688e-05,
|
| 1276 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1277 |
"step": 1480
|
| 1278 |
},
|
| 1279 |
{
|
| 1280 |
"epoch": 1.8860759493670884,
|
| 1281 |
-
"grad_norm": 1.
|
| 1282 |
"learning_rate": 1.856540084388186e-05,
|
| 1283 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1284 |
"step": 1490
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
"epoch": 1.8987341772151898,
|
| 1288 |
-
"grad_norm": 1.
|
| 1289 |
"learning_rate": 1.8354430379746836e-05,
|
| 1290 |
-
"loss": 0.
|
| 1291 |
"step": 1500
|
| 1292 |
},
|
| 1293 |
{
|
| 1294 |
"epoch": 1.8987341772151898,
|
| 1295 |
-
"eval_loss": 0.
|
| 1296 |
-
"eval_runtime":
|
| 1297 |
-
"eval_samples_per_second":
|
| 1298 |
-
"eval_steps_per_second": 2.
|
| 1299 |
"step": 1500
|
| 1300 |
},
|
| 1301 |
{
|
| 1302 |
"epoch": 1.9113924050632911,
|
| 1303 |
-
"grad_norm": 1.
|
| 1304 |
"learning_rate": 1.8143459915611816e-05,
|
| 1305 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1306 |
"step": 1510
|
| 1307 |
},
|
| 1308 |
{
|
| 1309 |
"epoch": 1.9240506329113924,
|
| 1310 |
-
"grad_norm": 1.
|
| 1311 |
"learning_rate": 1.7932489451476795e-05,
|
| 1312 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1313 |
"step": 1520
|
| 1314 |
},
|
| 1315 |
{
|
| 1316 |
"epoch": 1.9367088607594938,
|
| 1317 |
-
"grad_norm": 1.
|
| 1318 |
"learning_rate": 1.7721518987341772e-05,
|
| 1319 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1320 |
"step": 1530
|
| 1321 |
},
|
| 1322 |
{
|
| 1323 |
"epoch": 1.9493670886075949,
|
| 1324 |
-
"grad_norm": 1.
|
| 1325 |
"learning_rate": 1.751054852320675e-05,
|
| 1326 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1327 |
"step": 1540
|
| 1328 |
},
|
| 1329 |
{
|
| 1330 |
"epoch": 1.9620253164556962,
|
| 1331 |
-
"grad_norm": 0.
|
| 1332 |
"learning_rate": 1.729957805907173e-05,
|
| 1333 |
-
"loss": 0.
|
| 1334 |
"step": 1550
|
| 1335 |
},
|
| 1336 |
{
|
| 1337 |
"epoch": 1.9620253164556962,
|
| 1338 |
-
"eval_loss": 0.
|
| 1339 |
-
"eval_runtime": 12.
|
| 1340 |
-
"eval_samples_per_second": 39.
|
| 1341 |
-
"eval_steps_per_second": 2.
|
| 1342 |
"step": 1550
|
| 1343 |
},
|
| 1344 |
{
|
| 1345 |
"epoch": 1.9746835443037973,
|
| 1346 |
-
"grad_norm": 1.
|
| 1347 |
"learning_rate": 1.7088607594936708e-05,
|
| 1348 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1349 |
"step": 1560
|
| 1350 |
},
|
| 1351 |
{
|
| 1352 |
"epoch": 1.9873417721518987,
|
| 1353 |
-
"grad_norm": 1.
|
| 1354 |
"learning_rate": 1.6877637130801688e-05,
|
| 1355 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1356 |
"step": 1570
|
| 1357 |
},
|
| 1358 |
{
|
| 1359 |
"epoch": 2.0,
|
| 1360 |
-
"grad_norm": 2.
|
| 1361 |
"learning_rate": 1.6666666666666667e-05,
|
| 1362 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1363 |
"step": 1580
|
| 1364 |
},
|
| 1365 |
{
|
| 1366 |
"epoch": 2.0126582278481013,
|
| 1367 |
-
"grad_norm": 0.
|
| 1368 |
"learning_rate": 1.6455696202531644e-05,
|
| 1369 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1370 |
"step": 1590
|
| 1371 |
},
|
| 1372 |
{
|
| 1373 |
"epoch": 2.0253164556962027,
|
| 1374 |
-
"grad_norm": 1.
|
| 1375 |
"learning_rate": 1.6244725738396624e-05,
|
| 1376 |
-
"loss": 0.
|
| 1377 |
"step": 1600
|
| 1378 |
},
|
| 1379 |
{
|
| 1380 |
"epoch": 2.0253164556962027,
|
| 1381 |
-
"eval_loss": 0.
|
| 1382 |
-
"eval_runtime": 12.
|
| 1383 |
-
"eval_samples_per_second": 39.
|
| 1384 |
-
"eval_steps_per_second": 2.
|
| 1385 |
"step": 1600
|
| 1386 |
},
|
| 1387 |
{
|
| 1388 |
"epoch": 2.037974683544304,
|
| 1389 |
-
"grad_norm": 1.
|
| 1390 |
"learning_rate": 1.6033755274261607e-05,
|
| 1391 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1392 |
"step": 1610
|
| 1393 |
},
|
| 1394 |
{
|
| 1395 |
"epoch": 2.050632911392405,
|
| 1396 |
-
"grad_norm": 1.
|
| 1397 |
"learning_rate": 1.5822784810126583e-05,
|
| 1398 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1399 |
"step": 1620
|
| 1400 |
},
|
| 1401 |
{
|
| 1402 |
"epoch": 2.0632911392405062,
|
| 1403 |
-
"grad_norm":
|
| 1404 |
"learning_rate": 1.5611814345991563e-05,
|
| 1405 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1406 |
"step": 1630
|
| 1407 |
},
|
| 1408 |
{
|
| 1409 |
"epoch": 2.0759493670886076,
|
| 1410 |
-
"grad_norm": 1.
|
| 1411 |
"learning_rate": 1.5400843881856543e-05,
|
| 1412 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1413 |
"step": 1640
|
| 1414 |
},
|
| 1415 |
{
|
| 1416 |
"epoch": 2.088607594936709,
|
| 1417 |
-
"grad_norm": 1.
|
| 1418 |
"learning_rate": 1.5189873417721521e-05,
|
| 1419 |
-
"loss": 0.
|
| 1420 |
"step": 1650
|
| 1421 |
},
|
| 1422 |
{
|
| 1423 |
"epoch": 2.088607594936709,
|
| 1424 |
-
"eval_loss": 0.
|
| 1425 |
-
"eval_runtime": 12.
|
| 1426 |
-
"eval_samples_per_second": 39.
|
| 1427 |
-
"eval_steps_per_second": 2.
|
| 1428 |
"step": 1650
|
| 1429 |
},
|
| 1430 |
{
|
| 1431 |
"epoch": 2.1012658227848102,
|
| 1432 |
-
"grad_norm": 1.
|
| 1433 |
"learning_rate": 1.4978902953586499e-05,
|
| 1434 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1435 |
"step": 1660
|
| 1436 |
},
|
| 1437 |
{
|
| 1438 |
"epoch": 2.1139240506329116,
|
| 1439 |
-
"grad_norm":
|
| 1440 |
"learning_rate": 1.4767932489451477e-05,
|
| 1441 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1442 |
"step": 1670
|
| 1443 |
},
|
| 1444 |
{
|
| 1445 |
"epoch": 2.1265822784810124,
|
| 1446 |
-
"grad_norm": 0.
|
| 1447 |
"learning_rate": 1.4556962025316457e-05,
|
| 1448 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1449 |
"step": 1680
|
| 1450 |
},
|
| 1451 |
{
|
| 1452 |
"epoch": 2.1392405063291138,
|
| 1453 |
-
"grad_norm": 1.
|
| 1454 |
"learning_rate": 1.4345991561181435e-05,
|
| 1455 |
-
"loss": 0.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1456 |
"step": 1690
|
| 1457 |
},
|
| 1458 |
{
|
| 1459 |
"epoch": 2.151898734177215,
|
| 1460 |
-
"grad_norm": 1.
|
| 1461 |
"learning_rate": 1.4135021097046413e-05,
|
| 1462 |
-
"loss": 0.
|
| 1463 |
"step": 1700
|
| 1464 |
},
|
| 1465 |
{
|
| 1466 |
"epoch": 2.151898734177215,
|
| 1467 |
-
"eval_loss": 0.
|
| 1468 |
-
"eval_runtime":
|
| 1469 |
-
"eval_samples_per_second":
|
| 1470 |
-
"eval_steps_per_second": 2.
|
| 1471 |
"step": 1700
|
| 1472 |
}
|
| 1473 |
],
|
|
@@ -1475,7 +2563,7 @@
|
|
| 1475 |
"max_steps": 2370,
|
| 1476 |
"num_input_tokens_seen": 0,
|
| 1477 |
"num_train_epochs": 3,
|
| 1478 |
-
"save_steps":
|
| 1479 |
"stateful_callbacks": {
|
| 1480 |
"TrainerControl": {
|
| 1481 |
"args": {
|
|
|
|
| 2 |
"best_metric": null,
|
| 3 |
"best_model_checkpoint": null,
|
| 4 |
"epoch": 2.151898734177215,
|
| 5 |
+
"eval_steps": 10,
|
| 6 |
"global_step": 1700,
|
| 7 |
"is_hyper_param_search": false,
|
| 8 |
"is_local_process_zero": true,
|
|
|
|
| 10 |
"log_history": [
|
| 11 |
{
|
| 12 |
"epoch": 0.012658227848101266,
|
| 13 |
+
"grad_norm": 12.934767723083496,
|
| 14 |
"learning_rate": 4.9789029535864986e-05,
|
| 15 |
+
"loss": 2.6869,
|
| 16 |
+
"step": 10
|
| 17 |
+
},
|
| 18 |
+
{
|
| 19 |
+
"epoch": 0.012658227848101266,
|
| 20 |
+
"eval_loss": 1.651185393333435,
|
| 21 |
+
"eval_runtime": 11.831,
|
| 22 |
+
"eval_samples_per_second": 40.571,
|
| 23 |
+
"eval_steps_per_second": 2.536,
|
| 24 |
"step": 10
|
| 25 |
},
|
| 26 |
{
|
| 27 |
"epoch": 0.02531645569620253,
|
| 28 |
+
"grad_norm": 1.104798674583435,
|
| 29 |
"learning_rate": 4.957805907172996e-05,
|
| 30 |
+
"loss": 1.3694,
|
| 31 |
+
"step": 20
|
| 32 |
+
},
|
| 33 |
+
{
|
| 34 |
+
"epoch": 0.02531645569620253,
|
| 35 |
+
"eval_loss": 1.2200205326080322,
|
| 36 |
+
"eval_runtime": 11.8928,
|
| 37 |
+
"eval_samples_per_second": 40.361,
|
| 38 |
+
"eval_steps_per_second": 2.523,
|
| 39 |
"step": 20
|
| 40 |
},
|
| 41 |
{
|
| 42 |
"epoch": 0.0379746835443038,
|
| 43 |
+
"grad_norm": 1.1069142818450928,
|
| 44 |
"learning_rate": 4.936708860759494e-05,
|
| 45 |
+
"loss": 1.1029,
|
| 46 |
+
"step": 30
|
| 47 |
+
},
|
| 48 |
+
{
|
| 49 |
+
"epoch": 0.0379746835443038,
|
| 50 |
+
"eval_loss": 1.0691736936569214,
|
| 51 |
+
"eval_runtime": 11.9127,
|
| 52 |
+
"eval_samples_per_second": 40.293,
|
| 53 |
+
"eval_steps_per_second": 2.518,
|
| 54 |
"step": 30
|
| 55 |
},
|
| 56 |
{
|
| 57 |
"epoch": 0.05063291139240506,
|
| 58 |
+
"grad_norm": 1.1594161987304688,
|
| 59 |
"learning_rate": 4.9156118143459915e-05,
|
| 60 |
+
"loss": 0.9395,
|
| 61 |
+
"step": 40
|
| 62 |
+
},
|
| 63 |
+
{
|
| 64 |
+
"epoch": 0.05063291139240506,
|
| 65 |
+
"eval_loss": 0.9162012934684753,
|
| 66 |
+
"eval_runtime": 11.9373,
|
| 67 |
+
"eval_samples_per_second": 40.21,
|
| 68 |
+
"eval_steps_per_second": 2.513,
|
| 69 |
"step": 40
|
| 70 |
},
|
| 71 |
{
|
| 72 |
"epoch": 0.06329113924050633,
|
| 73 |
+
"grad_norm": 1.1133538484573364,
|
| 74 |
"learning_rate": 4.89451476793249e-05,
|
| 75 |
+
"loss": 0.7489,
|
| 76 |
"step": 50
|
| 77 |
},
|
| 78 |
{
|
| 79 |
"epoch": 0.06329113924050633,
|
| 80 |
+
"eval_loss": 0.713701605796814,
|
| 81 |
+
"eval_runtime": 11.9661,
|
| 82 |
+
"eval_samples_per_second": 40.113,
|
| 83 |
+
"eval_steps_per_second": 2.507,
|
| 84 |
"step": 50
|
| 85 |
},
|
| 86 |
{
|
| 87 |
"epoch": 0.0759493670886076,
|
| 88 |
+
"grad_norm": 1.0406183004379272,
|
| 89 |
"learning_rate": 4.8734177215189874e-05,
|
| 90 |
+
"loss": 0.6096,
|
| 91 |
+
"step": 60
|
| 92 |
+
},
|
| 93 |
+
{
|
| 94 |
+
"epoch": 0.0759493670886076,
|
| 95 |
+
"eval_loss": 0.6309535503387451,
|
| 96 |
+
"eval_runtime": 11.9895,
|
| 97 |
+
"eval_samples_per_second": 40.035,
|
| 98 |
+
"eval_steps_per_second": 2.502,
|
| 99 |
"step": 60
|
| 100 |
},
|
| 101 |
{
|
| 102 |
"epoch": 0.08860759493670886,
|
| 103 |
+
"grad_norm": 0.8599340915679932,
|
| 104 |
"learning_rate": 4.852320675105486e-05,
|
| 105 |
+
"loss": 0.5357,
|
| 106 |
+
"step": 70
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"epoch": 0.08860759493670886,
|
| 110 |
+
"eval_loss": 0.6159886717796326,
|
| 111 |
+
"eval_runtime": 12.0107,
|
| 112 |
+
"eval_samples_per_second": 39.965,
|
| 113 |
+
"eval_steps_per_second": 2.498,
|
| 114 |
"step": 70
|
| 115 |
},
|
| 116 |
{
|
| 117 |
"epoch": 0.10126582278481013,
|
| 118 |
+
"grad_norm": 0.9128267168998718,
|
| 119 |
"learning_rate": 4.8312236286919834e-05,
|
| 120 |
+
"loss": 0.5703,
|
| 121 |
+
"step": 80
|
| 122 |
+
},
|
| 123 |
+
{
|
| 124 |
+
"epoch": 0.10126582278481013,
|
| 125 |
+
"eval_loss": 0.5933937430381775,
|
| 126 |
+
"eval_runtime": 11.9716,
|
| 127 |
+
"eval_samples_per_second": 40.095,
|
| 128 |
+
"eval_steps_per_second": 2.506,
|
| 129 |
"step": 80
|
| 130 |
},
|
| 131 |
{
|
| 132 |
"epoch": 0.11392405063291139,
|
| 133 |
+
"grad_norm": 0.9396541118621826,
|
| 134 |
"learning_rate": 4.810126582278481e-05,
|
| 135 |
+
"loss": 0.5445,
|
| 136 |
+
"step": 90
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"epoch": 0.11392405063291139,
|
| 140 |
+
"eval_loss": 0.5727818608283997,
|
| 141 |
+
"eval_runtime": 11.9685,
|
| 142 |
+
"eval_samples_per_second": 40.105,
|
| 143 |
+
"eval_steps_per_second": 2.507,
|
| 144 |
"step": 90
|
| 145 |
},
|
| 146 |
{
|
| 147 |
"epoch": 0.12658227848101267,
|
| 148 |
+
"grad_norm": 0.8805290460586548,
|
| 149 |
"learning_rate": 4.789029535864979e-05,
|
| 150 |
+
"loss": 0.5151,
|
| 151 |
"step": 100
|
| 152 |
},
|
| 153 |
{
|
| 154 |
"epoch": 0.12658227848101267,
|
| 155 |
+
"eval_loss": 0.5640087127685547,
|
| 156 |
+
"eval_runtime": 11.9824,
|
| 157 |
+
"eval_samples_per_second": 40.059,
|
| 158 |
+
"eval_steps_per_second": 2.504,
|
| 159 |
"step": 100
|
| 160 |
},
|
| 161 |
{
|
| 162 |
"epoch": 0.13924050632911392,
|
| 163 |
+
"grad_norm": 0.8829126954078674,
|
| 164 |
"learning_rate": 4.767932489451477e-05,
|
| 165 |
+
"loss": 0.5301,
|
| 166 |
+
"step": 110
|
| 167 |
+
},
|
| 168 |
+
{
|
| 169 |
+
"epoch": 0.13924050632911392,
|
| 170 |
+
"eval_loss": 0.5558986067771912,
|
| 171 |
+
"eval_runtime": 11.9942,
|
| 172 |
+
"eval_samples_per_second": 40.019,
|
| 173 |
+
"eval_steps_per_second": 2.501,
|
| 174 |
"step": 110
|
| 175 |
},
|
| 176 |
{
|
| 177 |
"epoch": 0.1518987341772152,
|
| 178 |
+
"grad_norm": 0.8889341950416565,
|
| 179 |
"learning_rate": 4.7468354430379746e-05,
|
| 180 |
+
"loss": 0.4929,
|
| 181 |
+
"step": 120
|
| 182 |
+
},
|
| 183 |
+
{
|
| 184 |
+
"epoch": 0.1518987341772152,
|
| 185 |
+
"eval_loss": 0.5422877073287964,
|
| 186 |
+
"eval_runtime": 11.9624,
|
| 187 |
+
"eval_samples_per_second": 40.126,
|
| 188 |
+
"eval_steps_per_second": 2.508,
|
| 189 |
"step": 120
|
| 190 |
},
|
| 191 |
{
|
| 192 |
"epoch": 0.16455696202531644,
|
| 193 |
+
"grad_norm": 0.8428446054458618,
|
| 194 |
"learning_rate": 4.725738396624473e-05,
|
| 195 |
+
"loss": 0.4932,
|
| 196 |
+
"step": 130
|
| 197 |
+
},
|
| 198 |
+
{
|
| 199 |
+
"epoch": 0.16455696202531644,
|
| 200 |
+
"eval_loss": 0.5370256900787354,
|
| 201 |
+
"eval_runtime": 11.9786,
|
| 202 |
+
"eval_samples_per_second": 40.071,
|
| 203 |
+
"eval_steps_per_second": 2.504,
|
| 204 |
"step": 130
|
| 205 |
},
|
| 206 |
{
|
| 207 |
"epoch": 0.17721518987341772,
|
| 208 |
+
"grad_norm": 0.8985374569892883,
|
| 209 |
"learning_rate": 4.704641350210971e-05,
|
| 210 |
+
"loss": 0.4589,
|
| 211 |
+
"step": 140
|
| 212 |
+
},
|
| 213 |
+
{
|
| 214 |
+
"epoch": 0.17721518987341772,
|
| 215 |
+
"eval_loss": 0.5208094716072083,
|
| 216 |
+
"eval_runtime": 11.9711,
|
| 217 |
+
"eval_samples_per_second": 40.097,
|
| 218 |
+
"eval_steps_per_second": 2.506,
|
| 219 |
"step": 140
|
| 220 |
},
|
| 221 |
{
|
| 222 |
"epoch": 0.189873417721519,
|
| 223 |
+
"grad_norm": 0.8704663515090942,
|
| 224 |
"learning_rate": 4.683544303797468e-05,
|
| 225 |
+
"loss": 0.4585,
|
| 226 |
"step": 150
|
| 227 |
},
|
| 228 |
{
|
| 229 |
"epoch": 0.189873417721519,
|
| 230 |
+
"eval_loss": 0.5105039477348328,
|
| 231 |
+
"eval_runtime": 11.9751,
|
| 232 |
+
"eval_samples_per_second": 40.083,
|
| 233 |
+
"eval_steps_per_second": 2.505,
|
| 234 |
"step": 150
|
| 235 |
},
|
| 236 |
{
|
| 237 |
"epoch": 0.20253164556962025,
|
| 238 |
+
"grad_norm": 0.8930565714836121,
|
| 239 |
"learning_rate": 4.6624472573839666e-05,
|
| 240 |
+
"loss": 0.4438,
|
| 241 |
+
"step": 160
|
| 242 |
+
},
|
| 243 |
+
{
|
| 244 |
+
"epoch": 0.20253164556962025,
|
| 245 |
+
"eval_loss": 0.4988265931606293,
|
| 246 |
+
"eval_runtime": 11.9819,
|
| 247 |
+
"eval_samples_per_second": 40.06,
|
| 248 |
+
"eval_steps_per_second": 2.504,
|
| 249 |
"step": 160
|
| 250 |
},
|
| 251 |
{
|
| 252 |
"epoch": 0.21518987341772153,
|
| 253 |
+
"grad_norm": 0.9236075282096863,
|
| 254 |
"learning_rate": 4.641350210970464e-05,
|
| 255 |
+
"loss": 0.4171,
|
| 256 |
+
"step": 170
|
| 257 |
+
},
|
| 258 |
+
{
|
| 259 |
+
"epoch": 0.21518987341772153,
|
| 260 |
+
"eval_loss": 0.4941176176071167,
|
| 261 |
+
"eval_runtime": 11.9797,
|
| 262 |
+
"eval_samples_per_second": 40.068,
|
| 263 |
+
"eval_steps_per_second": 2.504,
|
| 264 |
"step": 170
|
| 265 |
},
|
| 266 |
{
|
| 267 |
"epoch": 0.22784810126582278,
|
| 268 |
+
"grad_norm": 0.8057528138160706,
|
| 269 |
"learning_rate": 4.6202531645569625e-05,
|
| 270 |
+
"loss": 0.4244,
|
| 271 |
+
"step": 180
|
| 272 |
+
},
|
| 273 |
+
{
|
| 274 |
+
"epoch": 0.22784810126582278,
|
| 275 |
+
"eval_loss": 0.489634245634079,
|
| 276 |
+
"eval_runtime": 11.9664,
|
| 277 |
+
"eval_samples_per_second": 40.112,
|
| 278 |
+
"eval_steps_per_second": 2.507,
|
| 279 |
"step": 180
|
| 280 |
},
|
| 281 |
{
|
| 282 |
"epoch": 0.24050632911392406,
|
| 283 |
+
"grad_norm": 0.8802728056907654,
|
| 284 |
"learning_rate": 4.59915611814346e-05,
|
| 285 |
+
"loss": 0.4196,
|
| 286 |
+
"step": 190
|
| 287 |
+
},
|
| 288 |
+
{
|
| 289 |
+
"epoch": 0.24050632911392406,
|
| 290 |
+
"eval_loss": 0.48033541440963745,
|
| 291 |
+
"eval_runtime": 11.9754,
|
| 292 |
+
"eval_samples_per_second": 40.082,
|
| 293 |
+
"eval_steps_per_second": 2.505,
|
| 294 |
"step": 190
|
| 295 |
},
|
| 296 |
{
|
| 297 |
"epoch": 0.25316455696202533,
|
| 298 |
+
"grad_norm": 0.8316253423690796,
|
| 299 |
"learning_rate": 4.5780590717299585e-05,
|
| 300 |
+
"loss": 0.4144,
|
| 301 |
"step": 200
|
| 302 |
},
|
| 303 |
{
|
| 304 |
"epoch": 0.25316455696202533,
|
| 305 |
+
"eval_loss": 0.4757111966609955,
|
| 306 |
+
"eval_runtime": 11.9744,
|
| 307 |
+
"eval_samples_per_second": 40.086,
|
| 308 |
+
"eval_steps_per_second": 2.505,
|
| 309 |
"step": 200
|
| 310 |
},
|
| 311 |
{
|
| 312 |
"epoch": 0.26582278481012656,
|
| 313 |
+
"grad_norm": 0.8675290942192078,
|
| 314 |
"learning_rate": 4.556962025316456e-05,
|
| 315 |
+
"loss": 0.3866,
|
| 316 |
+
"step": 210
|
| 317 |
+
},
|
| 318 |
+
{
|
| 319 |
+
"epoch": 0.26582278481012656,
|
| 320 |
+
"eval_loss": 0.4751383662223816,
|
| 321 |
+
"eval_runtime": 11.9976,
|
| 322 |
+
"eval_samples_per_second": 40.008,
|
| 323 |
+
"eval_steps_per_second": 2.501,
|
| 324 |
"step": 210
|
| 325 |
},
|
| 326 |
{
|
| 327 |
"epoch": 0.27848101265822783,
|
| 328 |
+
"grad_norm": 0.8654202818870544,
|
| 329 |
"learning_rate": 4.535864978902954e-05,
|
| 330 |
+
"loss": 0.3685,
|
| 331 |
+
"step": 220
|
| 332 |
+
},
|
| 333 |
+
{
|
| 334 |
+
"epoch": 0.27848101265822783,
|
| 335 |
+
"eval_loss": 0.47636380791664124,
|
| 336 |
+
"eval_runtime": 11.988,
|
| 337 |
+
"eval_samples_per_second": 40.04,
|
| 338 |
+
"eval_steps_per_second": 2.502,
|
| 339 |
"step": 220
|
| 340 |
},
|
| 341 |
{
|
| 342 |
"epoch": 0.2911392405063291,
|
| 343 |
+
"grad_norm": 0.835969090461731,
|
| 344 |
"learning_rate": 4.5147679324894514e-05,
|
| 345 |
+
"loss": 0.4117,
|
| 346 |
+
"step": 230
|
| 347 |
+
},
|
| 348 |
+
{
|
| 349 |
+
"epoch": 0.2911392405063291,
|
| 350 |
+
"eval_loss": 0.4723130762577057,
|
| 351 |
+
"eval_runtime": 11.9995,
|
| 352 |
+
"eval_samples_per_second": 40.002,
|
| 353 |
+
"eval_steps_per_second": 2.5,
|
| 354 |
"step": 230
|
| 355 |
},
|
| 356 |
{
|
| 357 |
"epoch": 0.3037974683544304,
|
| 358 |
+
"grad_norm": 0.9585816860198975,
|
| 359 |
"learning_rate": 4.49367088607595e-05,
|
| 360 |
+
"loss": 0.398,
|
| 361 |
+
"step": 240
|
| 362 |
+
},
|
| 363 |
+
{
|
| 364 |
+
"epoch": 0.3037974683544304,
|
| 365 |
+
"eval_loss": 0.472170889377594,
|
| 366 |
+
"eval_runtime": 12.0019,
|
| 367 |
+
"eval_samples_per_second": 39.994,
|
| 368 |
+
"eval_steps_per_second": 2.5,
|
| 369 |
"step": 240
|
| 370 |
},
|
| 371 |
{
|
| 372 |
"epoch": 0.31645569620253167,
|
| 373 |
+
"grad_norm": 1.0022097826004028,
|
| 374 |
"learning_rate": 4.4725738396624474e-05,
|
| 375 |
+
"loss": 0.403,
|
| 376 |
"step": 250
|
| 377 |
},
|
| 378 |
{
|
| 379 |
"epoch": 0.31645569620253167,
|
| 380 |
+
"eval_loss": 0.47611597180366516,
|
| 381 |
+
"eval_runtime": 12.0087,
|
| 382 |
+
"eval_samples_per_second": 39.971,
|
| 383 |
+
"eval_steps_per_second": 2.498,
|
| 384 |
"step": 250
|
| 385 |
},
|
| 386 |
{
|
| 387 |
"epoch": 0.3291139240506329,
|
| 388 |
+
"grad_norm": 0.8225414156913757,
|
| 389 |
"learning_rate": 4.451476793248946e-05,
|
| 390 |
+
"loss": 0.4045,
|
| 391 |
+
"step": 260
|
| 392 |
+
},
|
| 393 |
+
{
|
| 394 |
+
"epoch": 0.3291139240506329,
|
| 395 |
+
"eval_loss": 0.47163695096969604,
|
| 396 |
+
"eval_runtime": 11.9976,
|
| 397 |
+
"eval_samples_per_second": 40.008,
|
| 398 |
+
"eval_steps_per_second": 2.501,
|
| 399 |
"step": 260
|
| 400 |
},
|
| 401 |
{
|
| 402 |
"epoch": 0.34177215189873417,
|
| 403 |
+
"grad_norm": 0.765426754951477,
|
| 404 |
"learning_rate": 4.430379746835443e-05,
|
| 405 |
+
"loss": 0.4147,
|
| 406 |
+
"step": 270
|
| 407 |
+
},
|
| 408 |
+
{
|
| 409 |
+
"epoch": 0.34177215189873417,
|
| 410 |
+
"eval_loss": 0.4663979113101959,
|
| 411 |
+
"eval_runtime": 12.0321,
|
| 412 |
+
"eval_samples_per_second": 39.893,
|
| 413 |
+
"eval_steps_per_second": 2.493,
|
| 414 |
"step": 270
|
| 415 |
},
|
| 416 |
{
|
| 417 |
"epoch": 0.35443037974683544,
|
| 418 |
+
"grad_norm": 0.783598780632019,
|
| 419 |
"learning_rate": 4.409282700421941e-05,
|
| 420 |
+
"loss": 0.3747,
|
| 421 |
+
"step": 280
|
| 422 |
+
},
|
| 423 |
+
{
|
| 424 |
+
"epoch": 0.35443037974683544,
|
| 425 |
+
"eval_loss": 0.4673294723033905,
|
| 426 |
+
"eval_runtime": 12.0086,
|
| 427 |
+
"eval_samples_per_second": 39.971,
|
| 428 |
+
"eval_steps_per_second": 2.498,
|
| 429 |
"step": 280
|
| 430 |
},
|
| 431 |
{
|
| 432 |
"epoch": 0.3670886075949367,
|
| 433 |
+
"grad_norm": 0.830932080745697,
|
| 434 |
"learning_rate": 4.388185654008439e-05,
|
| 435 |
+
"loss": 0.3803,
|
| 436 |
+
"step": 290
|
| 437 |
+
},
|
| 438 |
+
{
|
| 439 |
+
"epoch": 0.3670886075949367,
|
| 440 |
+
"eval_loss": 0.4643842875957489,
|
| 441 |
+
"eval_runtime": 12.0174,
|
| 442 |
+
"eval_samples_per_second": 39.942,
|
| 443 |
+
"eval_steps_per_second": 2.496,
|
| 444 |
"step": 290
|
| 445 |
},
|
| 446 |
{
|
| 447 |
"epoch": 0.379746835443038,
|
| 448 |
+
"grad_norm": 0.8144668936729431,
|
| 449 |
"learning_rate": 4.367088607594937e-05,
|
| 450 |
+
"loss": 0.3756,
|
| 451 |
"step": 300
|
| 452 |
},
|
| 453 |
{
|
| 454 |
"epoch": 0.379746835443038,
|
| 455 |
+
"eval_loss": 0.462455689907074,
|
| 456 |
+
"eval_runtime": 12.0337,
|
| 457 |
+
"eval_samples_per_second": 39.888,
|
| 458 |
+
"eval_steps_per_second": 2.493,
|
| 459 |
"step": 300
|
| 460 |
},
|
| 461 |
{
|
| 462 |
"epoch": 0.3924050632911392,
|
| 463 |
+
"grad_norm": 0.9901543259620667,
|
| 464 |
"learning_rate": 4.345991561181435e-05,
|
| 465 |
+
"loss": 0.3854,
|
| 466 |
+
"step": 310
|
| 467 |
+
},
|
| 468 |
+
{
|
| 469 |
+
"epoch": 0.3924050632911392,
|
| 470 |
+
"eval_loss": 0.46370917558670044,
|
| 471 |
+
"eval_runtime": 12.0391,
|
| 472 |
+
"eval_samples_per_second": 39.87,
|
| 473 |
+
"eval_steps_per_second": 2.492,
|
| 474 |
"step": 310
|
| 475 |
},
|
| 476 |
{
|
| 477 |
"epoch": 0.4050632911392405,
|
| 478 |
+
"grad_norm": 0.8155348300933838,
|
| 479 |
"learning_rate": 4.324894514767933e-05,
|
| 480 |
+
"loss": 0.3923,
|
| 481 |
+
"step": 320
|
| 482 |
+
},
|
| 483 |
+
{
|
| 484 |
+
"epoch": 0.4050632911392405,
|
| 485 |
+
"eval_loss": 0.45924586057662964,
|
| 486 |
+
"eval_runtime": 12.0043,
|
| 487 |
+
"eval_samples_per_second": 39.986,
|
| 488 |
+
"eval_steps_per_second": 2.499,
|
| 489 |
"step": 320
|
| 490 |
},
|
| 491 |
{
|
| 492 |
"epoch": 0.4177215189873418,
|
| 493 |
+
"grad_norm": 0.848515510559082,
|
| 494 |
"learning_rate": 4.3037974683544305e-05,
|
| 495 |
+
"loss": 0.3685,
|
| 496 |
+
"step": 330
|
| 497 |
+
},
|
| 498 |
+
{
|
| 499 |
+
"epoch": 0.4177215189873418,
|
| 500 |
+
"eval_loss": 0.4578324556350708,
|
| 501 |
+
"eval_runtime": 12.0153,
|
| 502 |
+
"eval_samples_per_second": 39.949,
|
| 503 |
+
"eval_steps_per_second": 2.497,
|
| 504 |
"step": 330
|
| 505 |
},
|
| 506 |
{
|
| 507 |
"epoch": 0.43037974683544306,
|
| 508 |
+
"grad_norm": 0.7363820672035217,
|
| 509 |
"learning_rate": 4.282700421940928e-05,
|
| 510 |
+
"loss": 0.3732,
|
| 511 |
+
"step": 340
|
| 512 |
+
},
|
| 513 |
+
{
|
| 514 |
+
"epoch": 0.43037974683544306,
|
| 515 |
+
"eval_loss": 0.45530304312705994,
|
| 516 |
+
"eval_runtime": 12.0022,
|
| 517 |
+
"eval_samples_per_second": 39.993,
|
| 518 |
+
"eval_steps_per_second": 2.5,
|
| 519 |
"step": 340
|
| 520 |
},
|
| 521 |
{
|
| 522 |
"epoch": 0.4430379746835443,
|
| 523 |
+
"grad_norm": 0.8941953778266907,
|
| 524 |
"learning_rate": 4.2616033755274265e-05,
|
| 525 |
+
"loss": 0.3568,
|
| 526 |
"step": 350
|
| 527 |
},
|
| 528 |
{
|
| 529 |
"epoch": 0.4430379746835443,
|
| 530 |
+
"eval_loss": 0.45564475655555725,
|
| 531 |
+
"eval_runtime": 11.9942,
|
| 532 |
+
"eval_samples_per_second": 40.019,
|
| 533 |
+
"eval_steps_per_second": 2.501,
|
| 534 |
"step": 350
|
| 535 |
},
|
| 536 |
{
|
| 537 |
"epoch": 0.45569620253164556,
|
| 538 |
+
"grad_norm": 0.8505308628082275,
|
| 539 |
"learning_rate": 4.240506329113924e-05,
|
| 540 |
+
"loss": 0.3532,
|
| 541 |
+
"step": 360
|
| 542 |
+
},
|
| 543 |
+
{
|
| 544 |
+
"epoch": 0.45569620253164556,
|
| 545 |
+
"eval_loss": 0.4565883278846741,
|
| 546 |
+
"eval_runtime": 11.9837,
|
| 547 |
+
"eval_samples_per_second": 40.055,
|
| 548 |
+
"eval_steps_per_second": 2.503,
|
| 549 |
"step": 360
|
| 550 |
},
|
| 551 |
{
|
| 552 |
"epoch": 0.46835443037974683,
|
| 553 |
+
"grad_norm": 0.8749685883522034,
|
| 554 |
"learning_rate": 4.2194092827004224e-05,
|
| 555 |
+
"loss": 0.3782,
|
| 556 |
+
"step": 370
|
| 557 |
+
},
|
| 558 |
+
{
|
| 559 |
+
"epoch": 0.46835443037974683,
|
| 560 |
+
"eval_loss": 0.4539250433444977,
|
| 561 |
+
"eval_runtime": 11.9818,
|
| 562 |
+
"eval_samples_per_second": 40.061,
|
| 563 |
+
"eval_steps_per_second": 2.504,
|
| 564 |
"step": 370
|
| 565 |
},
|
| 566 |
{
|
| 567 |
"epoch": 0.4810126582278481,
|
| 568 |
+
"grad_norm": 0.9504376649856567,
|
| 569 |
"learning_rate": 4.19831223628692e-05,
|
| 570 |
"loss": 0.3661,
|
| 571 |
"step": 380
|
| 572 |
},
|
| 573 |
+
{
|
| 574 |
+
"epoch": 0.4810126582278481,
|
| 575 |
+
"eval_loss": 0.45406588912010193,
|
| 576 |
+
"eval_runtime": 11.977,
|
| 577 |
+
"eval_samples_per_second": 40.077,
|
| 578 |
+
"eval_steps_per_second": 2.505,
|
| 579 |
+
"step": 380
|
| 580 |
+
},
|
| 581 |
{
|
| 582 |
"epoch": 0.4936708860759494,
|
| 583 |
+
"grad_norm": 0.9361797571182251,
|
| 584 |
"learning_rate": 4.177215189873418e-05,
|
| 585 |
+
"loss": 0.3616,
|
| 586 |
+
"step": 390
|
| 587 |
+
},
|
| 588 |
+
{
|
| 589 |
+
"epoch": 0.4936708860759494,
|
| 590 |
+
"eval_loss": 0.45629584789276123,
|
| 591 |
+
"eval_runtime": 11.9702,
|
| 592 |
+
"eval_samples_per_second": 40.099,
|
| 593 |
+
"eval_steps_per_second": 2.506,
|
| 594 |
"step": 390
|
| 595 |
},
|
| 596 |
{
|
| 597 |
"epoch": 0.5063291139240507,
|
| 598 |
+
"grad_norm": 0.9047650694847107,
|
| 599 |
"learning_rate": 4.1561181434599153e-05,
|
| 600 |
+
"loss": 0.3819,
|
| 601 |
"step": 400
|
| 602 |
},
|
| 603 |
{
|
| 604 |
"epoch": 0.5063291139240507,
|
| 605 |
+
"eval_loss": 0.45267951488494873,
|
| 606 |
+
"eval_runtime": 11.9764,
|
| 607 |
+
"eval_samples_per_second": 40.079,
|
| 608 |
+
"eval_steps_per_second": 2.505,
|
| 609 |
"step": 400
|
| 610 |
},
|
| 611 |
{
|
| 612 |
"epoch": 0.5189873417721519,
|
| 613 |
+
"grad_norm": 0.8421018719673157,
|
| 614 |
"learning_rate": 4.135021097046414e-05,
|
| 615 |
+
"loss": 0.3615,
|
| 616 |
+
"step": 410
|
| 617 |
+
},
|
| 618 |
+
{
|
| 619 |
+
"epoch": 0.5189873417721519,
|
| 620 |
+
"eval_loss": 0.4506016671657562,
|
| 621 |
+
"eval_runtime": 11.9706,
|
| 622 |
+
"eval_samples_per_second": 40.098,
|
| 623 |
+
"eval_steps_per_second": 2.506,
|
| 624 |
"step": 410
|
| 625 |
},
|
| 626 |
{
|
| 627 |
"epoch": 0.5316455696202531,
|
| 628 |
+
"grad_norm": 0.8897402882575989,
|
| 629 |
"learning_rate": 4.113924050632912e-05,
|
| 630 |
+
"loss": 0.3422,
|
| 631 |
+
"step": 420
|
| 632 |
+
},
|
| 633 |
+
{
|
| 634 |
+
"epoch": 0.5316455696202531,
|
| 635 |
+
"eval_loss": 0.45110735297203064,
|
| 636 |
+
"eval_runtime": 11.9706,
|
| 637 |
+
"eval_samples_per_second": 40.098,
|
| 638 |
+
"eval_steps_per_second": 2.506,
|
| 639 |
"step": 420
|
| 640 |
},
|
| 641 |
{
|
| 642 |
"epoch": 0.5443037974683544,
|
| 643 |
+
"grad_norm": 0.9363548159599304,
|
| 644 |
"learning_rate": 4.0928270042194096e-05,
|
| 645 |
+
"loss": 0.3583,
|
| 646 |
+
"step": 430
|
| 647 |
+
},
|
| 648 |
+
{
|
| 649 |
+
"epoch": 0.5443037974683544,
|
| 650 |
+
"eval_loss": 0.45199054479599,
|
| 651 |
+
"eval_runtime": 11.9734,
|
| 652 |
+
"eval_samples_per_second": 40.089,
|
| 653 |
+
"eval_steps_per_second": 2.506,
|
| 654 |
"step": 430
|
| 655 |
},
|
| 656 |
{
|
| 657 |
"epoch": 0.5569620253164557,
|
| 658 |
+
"grad_norm": 0.8411681056022644,
|
| 659 |
"learning_rate": 4.071729957805907e-05,
|
| 660 |
+
"loss": 0.3652,
|
| 661 |
+
"step": 440
|
| 662 |
+
},
|
| 663 |
+
{
|
| 664 |
+
"epoch": 0.5569620253164557,
|
| 665 |
+
"eval_loss": 0.4516259431838989,
|
| 666 |
+
"eval_runtime": 11.9935,
|
| 667 |
+
"eval_samples_per_second": 40.022,
|
| 668 |
+
"eval_steps_per_second": 2.501,
|
| 669 |
"step": 440
|
| 670 |
},
|
| 671 |
{
|
| 672 |
"epoch": 0.569620253164557,
|
| 673 |
+
"grad_norm": 0.9512939453125,
|
| 674 |
"learning_rate": 4.050632911392405e-05,
|
| 675 |
+
"loss": 0.3551,
|
| 676 |
"step": 450
|
| 677 |
},
|
| 678 |
{
|
| 679 |
"epoch": 0.569620253164557,
|
| 680 |
+
"eval_loss": 0.45146167278289795,
|
| 681 |
+
"eval_runtime": 11.9778,
|
| 682 |
+
"eval_samples_per_second": 40.074,
|
| 683 |
+
"eval_steps_per_second": 2.505,
|
| 684 |
"step": 450
|
| 685 |
},
|
| 686 |
{
|
| 687 |
"epoch": 0.5822784810126582,
|
| 688 |
+
"grad_norm": 0.9009286165237427,
|
| 689 |
"learning_rate": 4.029535864978903e-05,
|
| 690 |
+
"loss": 0.3932,
|
| 691 |
+
"step": 460
|
| 692 |
+
},
|
| 693 |
+
{
|
| 694 |
+
"epoch": 0.5822784810126582,
|
| 695 |
+
"eval_loss": 0.4462432861328125,
|
| 696 |
+
"eval_runtime": 11.9951,
|
| 697 |
+
"eval_samples_per_second": 40.016,
|
| 698 |
+
"eval_steps_per_second": 2.501,
|
| 699 |
"step": 460
|
| 700 |
},
|
| 701 |
{
|
| 702 |
"epoch": 0.5949367088607594,
|
| 703 |
+
"grad_norm": 0.99807208776474,
|
| 704 |
"learning_rate": 4.008438818565401e-05,
|
| 705 |
"loss": 0.3507,
|
| 706 |
"step": 470
|
| 707 |
},
|
| 708 |
+
{
|
| 709 |
+
"epoch": 0.5949367088607594,
|
| 710 |
+
"eval_loss": 0.4435524642467499,
|
| 711 |
+
"eval_runtime": 11.9798,
|
| 712 |
+
"eval_samples_per_second": 40.067,
|
| 713 |
+
"eval_steps_per_second": 2.504,
|
| 714 |
+
"step": 470
|
| 715 |
+
},
|
| 716 |
{
|
| 717 |
"epoch": 0.6075949367088608,
|
| 718 |
+
"grad_norm": 0.9731541872024536,
|
| 719 |
"learning_rate": 3.987341772151899e-05,
|
| 720 |
+
"loss": 0.3554,
|
| 721 |
+
"step": 480
|
| 722 |
+
},
|
| 723 |
+
{
|
| 724 |
+
"epoch": 0.6075949367088608,
|
| 725 |
+
"eval_loss": 0.44545066356658936,
|
| 726 |
+
"eval_runtime": 11.9953,
|
| 727 |
+
"eval_samples_per_second": 40.016,
|
| 728 |
+
"eval_steps_per_second": 2.501,
|
| 729 |
"step": 480
|
| 730 |
},
|
| 731 |
{
|
| 732 |
"epoch": 0.620253164556962,
|
| 733 |
+
"grad_norm": 0.8262764811515808,
|
| 734 |
"learning_rate": 3.966244725738397e-05,
|
| 735 |
+
"loss": 0.3598,
|
| 736 |
+
"step": 490
|
| 737 |
+
},
|
| 738 |
+
{
|
| 739 |
+
"epoch": 0.620253164556962,
|
| 740 |
+
"eval_loss": 0.44541141390800476,
|
| 741 |
+
"eval_runtime": 12.0092,
|
| 742 |
+
"eval_samples_per_second": 39.97,
|
| 743 |
+
"eval_steps_per_second": 2.498,
|
| 744 |
"step": 490
|
| 745 |
},
|
| 746 |
{
|
| 747 |
"epoch": 0.6329113924050633,
|
| 748 |
+
"grad_norm": 0.8363035917282104,
|
| 749 |
"learning_rate": 3.945147679324895e-05,
|
| 750 |
+
"loss": 0.3395,
|
| 751 |
"step": 500
|
| 752 |
},
|
| 753 |
{
|
| 754 |
"epoch": 0.6329113924050633,
|
| 755 |
+
"eval_loss": 0.4463297426700592,
|
| 756 |
+
"eval_runtime": 11.9982,
|
| 757 |
+
"eval_samples_per_second": 40.006,
|
| 758 |
+
"eval_steps_per_second": 2.5,
|
| 759 |
"step": 500
|
| 760 |
},
|
| 761 |
{
|
| 762 |
"epoch": 0.6455696202531646,
|
| 763 |
+
"grad_norm": 0.9546836018562317,
|
| 764 |
"learning_rate": 3.924050632911392e-05,
|
| 765 |
+
"loss": 0.3719,
|
| 766 |
+
"step": 510
|
| 767 |
+
},
|
| 768 |
+
{
|
| 769 |
+
"epoch": 0.6455696202531646,
|
| 770 |
+
"eval_loss": 0.44170814752578735,
|
| 771 |
+
"eval_runtime": 12.0189,
|
| 772 |
+
"eval_samples_per_second": 39.937,
|
| 773 |
+
"eval_steps_per_second": 2.496,
|
| 774 |
"step": 510
|
| 775 |
},
|
| 776 |
{
|
| 777 |
"epoch": 0.6582278481012658,
|
| 778 |
+
"grad_norm": 0.8938493132591248,
|
| 779 |
"learning_rate": 3.9029535864978904e-05,
|
| 780 |
+
"loss": 0.3407,
|
| 781 |
+
"step": 520
|
| 782 |
+
},
|
| 783 |
+
{
|
| 784 |
+
"epoch": 0.6582278481012658,
|
| 785 |
+
"eval_loss": 0.44206559658050537,
|
| 786 |
+
"eval_runtime": 12.0179,
|
| 787 |
+
"eval_samples_per_second": 39.94,
|
| 788 |
+
"eval_steps_per_second": 2.496,
|
| 789 |
"step": 520
|
| 790 |
},
|
| 791 |
{
|
| 792 |
"epoch": 0.6708860759493671,
|
| 793 |
+
"grad_norm": 0.8256115317344666,
|
| 794 |
"learning_rate": 3.881856540084388e-05,
|
| 795 |
+
"loss": 0.3463,
|
| 796 |
+
"step": 530
|
| 797 |
+
},
|
| 798 |
+
{
|
| 799 |
+
"epoch": 0.6708860759493671,
|
| 800 |
+
"eval_loss": 0.442410409450531,
|
| 801 |
+
"eval_runtime": 12.0186,
|
| 802 |
+
"eval_samples_per_second": 39.938,
|
| 803 |
+
"eval_steps_per_second": 2.496,
|
| 804 |
"step": 530
|
| 805 |
},
|
| 806 |
{
|
| 807 |
"epoch": 0.6835443037974683,
|
| 808 |
+
"grad_norm": 0.9811826348304749,
|
| 809 |
"learning_rate": 3.8607594936708864e-05,
|
| 810 |
+
"loss": 0.3405,
|
| 811 |
+
"step": 540
|
| 812 |
+
},
|
| 813 |
+
{
|
| 814 |
+
"epoch": 0.6835443037974683,
|
| 815 |
+
"eval_loss": 0.4402957856655121,
|
| 816 |
+
"eval_runtime": 12.0169,
|
| 817 |
+
"eval_samples_per_second": 39.944,
|
| 818 |
+
"eval_steps_per_second": 2.496,
|
| 819 |
"step": 540
|
| 820 |
},
|
| 821 |
{
|
| 822 |
"epoch": 0.6962025316455697,
|
| 823 |
+
"grad_norm": 1.1067622900009155,
|
| 824 |
"learning_rate": 3.839662447257384e-05,
|
| 825 |
+
"loss": 0.3123,
|
| 826 |
"step": 550
|
| 827 |
},
|
| 828 |
{
|
| 829 |
"epoch": 0.6962025316455697,
|
| 830 |
+
"eval_loss": 0.4435986876487732,
|
| 831 |
+
"eval_runtime": 12.0131,
|
| 832 |
+
"eval_samples_per_second": 39.956,
|
| 833 |
+
"eval_steps_per_second": 2.497,
|
| 834 |
"step": 550
|
| 835 |
},
|
| 836 |
{
|
| 837 |
"epoch": 0.7088607594936709,
|
| 838 |
+
"grad_norm": 0.7862930297851562,
|
| 839 |
"learning_rate": 3.8185654008438823e-05,
|
| 840 |
+
"loss": 0.3241,
|
| 841 |
+
"step": 560
|
| 842 |
+
},
|
| 843 |
+
{
|
| 844 |
+
"epoch": 0.7088607594936709,
|
| 845 |
+
"eval_loss": 0.44168028235435486,
|
| 846 |
+
"eval_runtime": 12.0254,
|
| 847 |
+
"eval_samples_per_second": 39.916,
|
| 848 |
+
"eval_steps_per_second": 2.495,
|
| 849 |
"step": 560
|
| 850 |
},
|
| 851 |
{
|
| 852 |
"epoch": 0.7215189873417721,
|
| 853 |
+
"grad_norm": 0.7757970690727234,
|
| 854 |
"learning_rate": 3.79746835443038e-05,
|
| 855 |
+
"loss": 0.3228,
|
| 856 |
+
"step": 570
|
| 857 |
+
},
|
| 858 |
+
{
|
| 859 |
+
"epoch": 0.7215189873417721,
|
| 860 |
+
"eval_loss": 0.43862494826316833,
|
| 861 |
+
"eval_runtime": 12.0155,
|
| 862 |
+
"eval_samples_per_second": 39.948,
|
| 863 |
+
"eval_steps_per_second": 2.497,
|
| 864 |
"step": 570
|
| 865 |
},
|
| 866 |
{
|
| 867 |
"epoch": 0.7341772151898734,
|
| 868 |
+
"grad_norm": 0.9344391822814941,
|
| 869 |
"learning_rate": 3.7763713080168776e-05,
|
| 870 |
+
"loss": 0.3493,
|
| 871 |
+
"step": 580
|
| 872 |
+
},
|
| 873 |
+
{
|
| 874 |
+
"epoch": 0.7341772151898734,
|
| 875 |
+
"eval_loss": 0.4383662939071655,
|
| 876 |
+
"eval_runtime": 12.0028,
|
| 877 |
+
"eval_samples_per_second": 39.991,
|
| 878 |
+
"eval_steps_per_second": 2.499,
|
| 879 |
"step": 580
|
| 880 |
},
|
| 881 |
{
|
| 882 |
"epoch": 0.7468354430379747,
|
| 883 |
+
"grad_norm": 0.7889246940612793,
|
| 884 |
"learning_rate": 3.755274261603376e-05,
|
| 885 |
+
"loss": 0.3368,
|
| 886 |
+
"step": 590
|
| 887 |
+
},
|
| 888 |
+
{
|
| 889 |
+
"epoch": 0.7468354430379747,
|
| 890 |
+
"eval_loss": 0.4401029646396637,
|
| 891 |
+
"eval_runtime": 12.0067,
|
| 892 |
+
"eval_samples_per_second": 39.978,
|
| 893 |
+
"eval_steps_per_second": 2.499,
|
| 894 |
"step": 590
|
| 895 |
},
|
| 896 |
{
|
| 897 |
"epoch": 0.759493670886076,
|
| 898 |
+
"grad_norm": 0.9681524634361267,
|
| 899 |
"learning_rate": 3.7341772151898736e-05,
|
| 900 |
+
"loss": 0.3379,
|
| 901 |
"step": 600
|
| 902 |
},
|
| 903 |
{
|
| 904 |
"epoch": 0.759493670886076,
|
| 905 |
+
"eval_loss": 0.4454769790172577,
|
| 906 |
+
"eval_runtime": 11.9974,
|
| 907 |
+
"eval_samples_per_second": 40.009,
|
| 908 |
+
"eval_steps_per_second": 2.501,
|
| 909 |
"step": 600
|
| 910 |
},
|
| 911 |
{
|
| 912 |
"epoch": 0.7721518987341772,
|
| 913 |
+
"grad_norm": 1.0647331476211548,
|
| 914 |
"learning_rate": 3.713080168776372e-05,
|
| 915 |
+
"loss": 0.3183,
|
| 916 |
+
"step": 610
|
| 917 |
+
},
|
| 918 |
+
{
|
| 919 |
+
"epoch": 0.7721518987341772,
|
| 920 |
+
"eval_loss": 0.44765299558639526,
|
| 921 |
+
"eval_runtime": 11.9871,
|
| 922 |
+
"eval_samples_per_second": 40.043,
|
| 923 |
+
"eval_steps_per_second": 2.503,
|
| 924 |
"step": 610
|
| 925 |
},
|
| 926 |
{
|
| 927 |
"epoch": 0.7848101265822784,
|
| 928 |
+
"grad_norm": 1.011276125907898,
|
| 929 |
"learning_rate": 3.6919831223628695e-05,
|
| 930 |
+
"loss": 0.3429,
|
| 931 |
+
"step": 620
|
| 932 |
+
},
|
| 933 |
+
{
|
| 934 |
+
"epoch": 0.7848101265822784,
|
| 935 |
+
"eval_loss": 0.44364845752716064,
|
| 936 |
+
"eval_runtime": 11.9834,
|
| 937 |
+
"eval_samples_per_second": 40.055,
|
| 938 |
+
"eval_steps_per_second": 2.503,
|
| 939 |
"step": 620
|
| 940 |
},
|
| 941 |
{
|
| 942 |
"epoch": 0.7974683544303798,
|
| 943 |
+
"grad_norm": 0.9798643589019775,
|
| 944 |
"learning_rate": 3.670886075949367e-05,
|
| 945 |
+
"loss": 0.3241,
|
| 946 |
+
"step": 630
|
| 947 |
+
},
|
| 948 |
+
{
|
| 949 |
+
"epoch": 0.7974683544303798,
|
| 950 |
+
"eval_loss": 0.4404812753200531,
|
| 951 |
+
"eval_runtime": 11.9709,
|
| 952 |
+
"eval_samples_per_second": 40.097,
|
| 953 |
+
"eval_steps_per_second": 2.506,
|
| 954 |
"step": 630
|
| 955 |
},
|
| 956 |
{
|
| 957 |
"epoch": 0.810126582278481,
|
| 958 |
+
"grad_norm": 1.0073341131210327,
|
| 959 |
"learning_rate": 3.649789029535865e-05,
|
| 960 |
+
"loss": 0.3458,
|
| 961 |
+
"step": 640
|
| 962 |
+
},
|
| 963 |
+
{
|
| 964 |
+
"epoch": 0.810126582278481,
|
| 965 |
+
"eval_loss": 0.4414132237434387,
|
| 966 |
+
"eval_runtime": 11.9674,
|
| 967 |
+
"eval_samples_per_second": 40.109,
|
| 968 |
+
"eval_steps_per_second": 2.507,
|
| 969 |
"step": 640
|
| 970 |
},
|
| 971 |
{
|
| 972 |
"epoch": 0.8227848101265823,
|
| 973 |
+
"grad_norm": 1.1242218017578125,
|
| 974 |
"learning_rate": 3.628691983122363e-05,
|
| 975 |
+
"loss": 0.3349,
|
| 976 |
"step": 650
|
| 977 |
},
|
| 978 |
{
|
| 979 |
"epoch": 0.8227848101265823,
|
| 980 |
+
"eval_loss": 0.44002220034599304,
|
| 981 |
+
"eval_runtime": 11.9864,
|
| 982 |
+
"eval_samples_per_second": 40.045,
|
| 983 |
+
"eval_steps_per_second": 2.503,
|
| 984 |
"step": 650
|
| 985 |
},
|
| 986 |
{
|
| 987 |
"epoch": 0.8354430379746836,
|
| 988 |
+
"grad_norm": 1.017277479171753,
|
| 989 |
"learning_rate": 3.607594936708861e-05,
|
| 990 |
+
"loss": 0.3253,
|
| 991 |
+
"step": 660
|
| 992 |
+
},
|
| 993 |
+
{
|
| 994 |
+
"epoch": 0.8354430379746836,
|
| 995 |
+
"eval_loss": 0.44148024916648865,
|
| 996 |
+
"eval_runtime": 11.9696,
|
| 997 |
+
"eval_samples_per_second": 40.102,
|
| 998 |
+
"eval_steps_per_second": 2.506,
|
| 999 |
"step": 660
|
| 1000 |
},
|
| 1001 |
{
|
| 1002 |
"epoch": 0.8481012658227848,
|
| 1003 |
+
"grad_norm": 1.0144122838974,
|
| 1004 |
"learning_rate": 3.586497890295359e-05,
|
| 1005 |
"loss": 0.3315,
|
| 1006 |
"step": 670
|
| 1007 |
},
|
| 1008 |
+
{
|
| 1009 |
+
"epoch": 0.8481012658227848,
|
| 1010 |
+
"eval_loss": 0.44631800055503845,
|
| 1011 |
+
"eval_runtime": 11.9722,
|
| 1012 |
+
"eval_samples_per_second": 40.093,
|
| 1013 |
+
"eval_steps_per_second": 2.506,
|
| 1014 |
+
"step": 670
|
| 1015 |
+
},
|
| 1016 |
{
|
| 1017 |
"epoch": 0.8607594936708861,
|
| 1018 |
+
"grad_norm": 0.9348974227905273,
|
| 1019 |
"learning_rate": 3.565400843881857e-05,
|
| 1020 |
+
"loss": 0.3133,
|
| 1021 |
+
"step": 680
|
| 1022 |
+
},
|
| 1023 |
+
{
|
| 1024 |
+
"epoch": 0.8607594936708861,
|
| 1025 |
+
"eval_loss": 0.44364798069000244,
|
| 1026 |
+
"eval_runtime": 11.9823,
|
| 1027 |
+
"eval_samples_per_second": 40.059,
|
| 1028 |
+
"eval_steps_per_second": 2.504,
|
| 1029 |
"step": 680
|
| 1030 |
},
|
| 1031 |
{
|
| 1032 |
"epoch": 0.8734177215189873,
|
| 1033 |
+
"grad_norm": 1.0044163465499878,
|
| 1034 |
"learning_rate": 3.5443037974683544e-05,
|
| 1035 |
+
"loss": 0.3268,
|
| 1036 |
"step": 690
|
| 1037 |
},
|
| 1038 |
{
|
| 1039 |
+
"epoch": 0.8734177215189873,
|
| 1040 |
+
"eval_loss": 0.4390403628349304,
|
| 1041 |
+
"eval_runtime": 11.9953,
|
| 1042 |
+
"eval_samples_per_second": 40.016,
|
| 1043 |
+
"eval_steps_per_second": 2.501,
|
| 1044 |
+
"step": 690
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"epoch": 0.8860759493670886,
|
| 1048 |
+
"grad_norm": 1.0378562211990356,
|
| 1049 |
+
"learning_rate": 3.523206751054853e-05,
|
| 1050 |
+
"loss": 0.301,
|
| 1051 |
"step": 700
|
| 1052 |
},
|
| 1053 |
{
|
| 1054 |
"epoch": 0.8860759493670886,
|
| 1055 |
+
"eval_loss": 0.44264018535614014,
|
| 1056 |
+
"eval_runtime": 12.0078,
|
| 1057 |
+
"eval_samples_per_second": 39.974,
|
| 1058 |
+
"eval_steps_per_second": 2.498,
|
| 1059 |
"step": 700
|
| 1060 |
},
|
| 1061 |
{
|
| 1062 |
"epoch": 0.8987341772151899,
|
| 1063 |
+
"grad_norm": 1.0685914754867554,
|
| 1064 |
"learning_rate": 3.50210970464135e-05,
|
| 1065 |
+
"loss": 0.2999,
|
| 1066 |
+
"step": 710
|
| 1067 |
+
},
|
| 1068 |
+
{
|
| 1069 |
+
"epoch": 0.8987341772151899,
|
| 1070 |
+
"eval_loss": 0.44629010558128357,
|
| 1071 |
+
"eval_runtime": 12.0041,
|
| 1072 |
+
"eval_samples_per_second": 39.986,
|
| 1073 |
+
"eval_steps_per_second": 2.499,
|
| 1074 |
"step": 710
|
| 1075 |
},
|
| 1076 |
{
|
| 1077 |
"epoch": 0.9113924050632911,
|
| 1078 |
+
"grad_norm": 0.9393686652183533,
|
| 1079 |
"learning_rate": 3.4810126582278487e-05,
|
| 1080 |
+
"loss": 0.3302,
|
| 1081 |
+
"step": 720
|
| 1082 |
+
},
|
| 1083 |
+
{
|
| 1084 |
+
"epoch": 0.9113924050632911,
|
| 1085 |
+
"eval_loss": 0.4416085481643677,
|
| 1086 |
+
"eval_runtime": 11.9963,
|
| 1087 |
+
"eval_samples_per_second": 40.012,
|
| 1088 |
+
"eval_steps_per_second": 2.501,
|
| 1089 |
"step": 720
|
| 1090 |
},
|
| 1091 |
{
|
| 1092 |
"epoch": 0.9240506329113924,
|
| 1093 |
+
"grad_norm": 0.7537661790847778,
|
| 1094 |
"learning_rate": 3.459915611814346e-05,
|
| 1095 |
"loss": 0.3115,
|
| 1096 |
"step": 730
|
| 1097 |
},
|
| 1098 |
+
{
|
| 1099 |
+
"epoch": 0.9240506329113924,
|
| 1100 |
+
"eval_loss": 0.4376052916049957,
|
| 1101 |
+
"eval_runtime": 12.0145,
|
| 1102 |
+
"eval_samples_per_second": 39.952,
|
| 1103 |
+
"eval_steps_per_second": 2.497,
|
| 1104 |
+
"step": 730
|
| 1105 |
+
},
|
| 1106 |
{
|
| 1107 |
"epoch": 0.9367088607594937,
|
| 1108 |
+
"grad_norm": 0.8967430591583252,
|
| 1109 |
"learning_rate": 3.438818565400844e-05,
|
| 1110 |
+
"loss": 0.2953,
|
| 1111 |
+
"step": 740
|
| 1112 |
+
},
|
| 1113 |
+
{
|
| 1114 |
+
"epoch": 0.9367088607594937,
|
| 1115 |
+
"eval_loss": 0.44384878873825073,
|
| 1116 |
+
"eval_runtime": 12.0179,
|
| 1117 |
+
"eval_samples_per_second": 39.94,
|
| 1118 |
+
"eval_steps_per_second": 2.496,
|
| 1119 |
"step": 740
|
| 1120 |
},
|
| 1121 |
{
|
| 1122 |
"epoch": 0.9493670886075949,
|
| 1123 |
+
"grad_norm": 1.038889765739441,
|
| 1124 |
"learning_rate": 3.4177215189873416e-05,
|
| 1125 |
+
"loss": 0.2896,
|
| 1126 |
"step": 750
|
| 1127 |
},
|
| 1128 |
{
|
| 1129 |
"epoch": 0.9493670886075949,
|
| 1130 |
+
"eval_loss": 0.44931265711784363,
|
| 1131 |
+
"eval_runtime": 12.0512,
|
| 1132 |
+
"eval_samples_per_second": 39.83,
|
| 1133 |
+
"eval_steps_per_second": 2.489,
|
| 1134 |
"step": 750
|
| 1135 |
},
|
| 1136 |
{
|
| 1137 |
"epoch": 0.9620253164556962,
|
| 1138 |
+
"grad_norm": 0.8368887901306152,
|
| 1139 |
"learning_rate": 3.39662447257384e-05,
|
| 1140 |
+
"loss": 0.3077,
|
| 1141 |
+
"step": 760
|
| 1142 |
+
},
|
| 1143 |
+
{
|
| 1144 |
+
"epoch": 0.9620253164556962,
|
| 1145 |
+
"eval_loss": 0.4448526203632355,
|
| 1146 |
+
"eval_runtime": 12.0245,
|
| 1147 |
+
"eval_samples_per_second": 39.918,
|
| 1148 |
+
"eval_steps_per_second": 2.495,
|
| 1149 |
"step": 760
|
| 1150 |
},
|
| 1151 |
{
|
| 1152 |
"epoch": 0.9746835443037974,
|
| 1153 |
+
"grad_norm": 0.8918857574462891,
|
| 1154 |
"learning_rate": 3.3755274261603375e-05,
|
| 1155 |
+
"loss": 0.2998,
|
| 1156 |
+
"step": 770
|
| 1157 |
+
},
|
| 1158 |
+
{
|
| 1159 |
+
"epoch": 0.9746835443037974,
|
| 1160 |
+
"eval_loss": 0.44332075119018555,
|
| 1161 |
+
"eval_runtime": 12.0157,
|
| 1162 |
+
"eval_samples_per_second": 39.948,
|
| 1163 |
+
"eval_steps_per_second": 2.497,
|
| 1164 |
"step": 770
|
| 1165 |
},
|
| 1166 |
{
|
| 1167 |
"epoch": 0.9873417721518988,
|
| 1168 |
+
"grad_norm": 0.8617395758628845,
|
| 1169 |
"learning_rate": 3.354430379746836e-05,
|
| 1170 |
+
"loss": 0.3096,
|
| 1171 |
+
"step": 780
|
| 1172 |
+
},
|
| 1173 |
+
{
|
| 1174 |
+
"epoch": 0.9873417721518988,
|
| 1175 |
+
"eval_loss": 0.445936381816864,
|
| 1176 |
+
"eval_runtime": 12.0415,
|
| 1177 |
+
"eval_samples_per_second": 39.862,
|
| 1178 |
+
"eval_steps_per_second": 2.491,
|
| 1179 |
"step": 780
|
| 1180 |
},
|
| 1181 |
{
|
| 1182 |
"epoch": 1.0,
|
| 1183 |
+
"grad_norm": 1.5501235723495483,
|
| 1184 |
"learning_rate": 3.3333333333333335e-05,
|
| 1185 |
+
"loss": 0.3121,
|
| 1186 |
+
"step": 790
|
| 1187 |
+
},
|
| 1188 |
+
{
|
| 1189 |
+
"epoch": 1.0,
|
| 1190 |
+
"eval_loss": 0.4466773569583893,
|
| 1191 |
+
"eval_runtime": 12.0222,
|
| 1192 |
+
"eval_samples_per_second": 39.926,
|
| 1193 |
+
"eval_steps_per_second": 2.495,
|
| 1194 |
"step": 790
|
| 1195 |
},
|
| 1196 |
{
|
| 1197 |
"epoch": 1.0126582278481013,
|
| 1198 |
+
"grad_norm": 0.8308594822883606,
|
| 1199 |
"learning_rate": 3.312236286919831e-05,
|
| 1200 |
+
"loss": 0.2496,
|
| 1201 |
"step": 800
|
| 1202 |
},
|
| 1203 |
{
|
| 1204 |
"epoch": 1.0126582278481013,
|
| 1205 |
+
"eval_loss": 0.4600757658481598,
|
| 1206 |
+
"eval_runtime": 12.0066,
|
| 1207 |
+
"eval_samples_per_second": 39.978,
|
| 1208 |
+
"eval_steps_per_second": 2.499,
|
| 1209 |
"step": 800
|
| 1210 |
},
|
| 1211 |
{
|
| 1212 |
"epoch": 1.0253164556962024,
|
| 1213 |
+
"grad_norm": 1.106009840965271,
|
| 1214 |
"learning_rate": 3.291139240506329e-05,
|
| 1215 |
+
"loss": 0.2379,
|
| 1216 |
+
"step": 810
|
| 1217 |
+
},
|
| 1218 |
+
{
|
| 1219 |
+
"epoch": 1.0253164556962024,
|
| 1220 |
+
"eval_loss": 0.4869029223918915,
|
| 1221 |
+
"eval_runtime": 12.0052,
|
| 1222 |
+
"eval_samples_per_second": 39.983,
|
| 1223 |
+
"eval_steps_per_second": 2.499,
|
| 1224 |
"step": 810
|
| 1225 |
},
|
| 1226 |
{
|
| 1227 |
"epoch": 1.0379746835443038,
|
| 1228 |
+
"grad_norm": 1.245780110359192,
|
| 1229 |
"learning_rate": 3.270042194092827e-05,
|
| 1230 |
+
"loss": 0.2444,
|
| 1231 |
+
"step": 820
|
| 1232 |
+
},
|
| 1233 |
+
{
|
| 1234 |
+
"epoch": 1.0379746835443038,
|
| 1235 |
+
"eval_loss": 0.4929307997226715,
|
| 1236 |
+
"eval_runtime": 12.04,
|
| 1237 |
+
"eval_samples_per_second": 39.867,
|
| 1238 |
+
"eval_steps_per_second": 2.492,
|
| 1239 |
"step": 820
|
| 1240 |
},
|
| 1241 |
{
|
| 1242 |
"epoch": 1.0506329113924051,
|
| 1243 |
+
"grad_norm": 0.9375244975090027,
|
| 1244 |
"learning_rate": 3.248945147679325e-05,
|
| 1245 |
+
"loss": 0.2472,
|
| 1246 |
+
"step": 830
|
| 1247 |
+
},
|
| 1248 |
+
{
|
| 1249 |
+
"epoch": 1.0506329113924051,
|
| 1250 |
+
"eval_loss": 0.4766117334365845,
|
| 1251 |
+
"eval_runtime": 11.9872,
|
| 1252 |
+
"eval_samples_per_second": 40.043,
|
| 1253 |
+
"eval_steps_per_second": 2.503,
|
| 1254 |
"step": 830
|
| 1255 |
},
|
| 1256 |
{
|
| 1257 |
"epoch": 1.0632911392405062,
|
| 1258 |
+
"grad_norm": 0.918492317199707,
|
| 1259 |
"learning_rate": 3.227848101265823e-05,
|
| 1260 |
+
"loss": 0.2616,
|
| 1261 |
+
"step": 840
|
| 1262 |
+
},
|
| 1263 |
+
{
|
| 1264 |
+
"epoch": 1.0632911392405062,
|
| 1265 |
+
"eval_loss": 0.47020089626312256,
|
| 1266 |
+
"eval_runtime": 12.0363,
|
| 1267 |
+
"eval_samples_per_second": 39.879,
|
| 1268 |
+
"eval_steps_per_second": 2.492,
|
| 1269 |
"step": 840
|
| 1270 |
},
|
| 1271 |
{
|
| 1272 |
"epoch": 1.0759493670886076,
|
| 1273 |
+
"grad_norm": 1.1049394607543945,
|
| 1274 |
"learning_rate": 3.2067510548523214e-05,
|
| 1275 |
+
"loss": 0.2418,
|
| 1276 |
"step": 850
|
| 1277 |
},
|
| 1278 |
{
|
| 1279 |
"epoch": 1.0759493670886076,
|
| 1280 |
+
"eval_loss": 0.4829190671443939,
|
| 1281 |
+
"eval_runtime": 11.9852,
|
| 1282 |
+
"eval_samples_per_second": 40.049,
|
| 1283 |
"eval_steps_per_second": 2.503,
|
| 1284 |
"step": 850
|
| 1285 |
},
|
| 1286 |
{
|
| 1287 |
"epoch": 1.0886075949367089,
|
| 1288 |
+
"grad_norm": 1.016552448272705,
|
| 1289 |
"learning_rate": 3.185654008438819e-05,
|
| 1290 |
+
"loss": 0.2481,
|
| 1291 |
+
"step": 860
|
| 1292 |
+
},
|
| 1293 |
+
{
|
| 1294 |
+
"epoch": 1.0886075949367089,
|
| 1295 |
+
"eval_loss": 0.4826962649822235,
|
| 1296 |
+
"eval_runtime": 11.9873,
|
| 1297 |
+
"eval_samples_per_second": 40.042,
|
| 1298 |
+
"eval_steps_per_second": 2.503,
|
| 1299 |
"step": 860
|
| 1300 |
},
|
| 1301 |
{
|
| 1302 |
"epoch": 1.1012658227848102,
|
| 1303 |
+
"grad_norm": 1.2560571432113647,
|
| 1304 |
"learning_rate": 3.1645569620253167e-05,
|
| 1305 |
+
"loss": 0.2387,
|
| 1306 |
+
"step": 870
|
| 1307 |
+
},
|
| 1308 |
+
{
|
| 1309 |
+
"epoch": 1.1012658227848102,
|
| 1310 |
+
"eval_loss": 0.489859014749527,
|
| 1311 |
+
"eval_runtime": 11.9701,
|
| 1312 |
+
"eval_samples_per_second": 40.1,
|
| 1313 |
+
"eval_steps_per_second": 2.506,
|
| 1314 |
"step": 870
|
| 1315 |
},
|
| 1316 |
{
|
| 1317 |
"epoch": 1.1139240506329113,
|
| 1318 |
+
"grad_norm": 1.2440732717514038,
|
| 1319 |
"learning_rate": 3.143459915611814e-05,
|
| 1320 |
"loss": 0.2435,
|
| 1321 |
"step": 880
|
| 1322 |
},
|
| 1323 |
+
{
|
| 1324 |
+
"epoch": 1.1139240506329113,
|
| 1325 |
+
"eval_loss": 0.49208518862724304,
|
| 1326 |
+
"eval_runtime": 11.9784,
|
| 1327 |
+
"eval_samples_per_second": 40.072,
|
| 1328 |
+
"eval_steps_per_second": 2.505,
|
| 1329 |
+
"step": 880
|
| 1330 |
+
},
|
| 1331 |
{
|
| 1332 |
"epoch": 1.1265822784810127,
|
| 1333 |
+
"grad_norm": 0.9383878707885742,
|
| 1334 |
"learning_rate": 3.1223628691983126e-05,
|
| 1335 |
+
"loss": 0.2447,
|
| 1336 |
+
"step": 890
|
| 1337 |
+
},
|
| 1338 |
+
{
|
| 1339 |
+
"epoch": 1.1265822784810127,
|
| 1340 |
+
"eval_loss": 0.4867653548717499,
|
| 1341 |
+
"eval_runtime": 11.9752,
|
| 1342 |
+
"eval_samples_per_second": 40.083,
|
| 1343 |
+
"eval_steps_per_second": 2.505,
|
| 1344 |
"step": 890
|
| 1345 |
},
|
| 1346 |
{
|
| 1347 |
"epoch": 1.139240506329114,
|
| 1348 |
+
"grad_norm": 1.0004807710647583,
|
| 1349 |
"learning_rate": 3.10126582278481e-05,
|
| 1350 |
+
"loss": 0.2411,
|
| 1351 |
"step": 900
|
| 1352 |
},
|
| 1353 |
{
|
| 1354 |
"epoch": 1.139240506329114,
|
| 1355 |
+
"eval_loss": 0.4858919680118561,
|
| 1356 |
+
"eval_runtime": 11.9714,
|
| 1357 |
+
"eval_samples_per_second": 40.096,
|
| 1358 |
+
"eval_steps_per_second": 2.506,
|
| 1359 |
"step": 900
|
| 1360 |
},
|
| 1361 |
{
|
| 1362 |
"epoch": 1.1518987341772151,
|
| 1363 |
+
"grad_norm": 1.199441909790039,
|
| 1364 |
"learning_rate": 3.0801687763713086e-05,
|
| 1365 |
+
"loss": 0.2388,
|
| 1366 |
+
"step": 910
|
| 1367 |
+
},
|
| 1368 |
+
{
|
| 1369 |
+
"epoch": 1.1518987341772151,
|
| 1370 |
+
"eval_loss": 0.4939596951007843,
|
| 1371 |
+
"eval_runtime": 11.9759,
|
| 1372 |
+
"eval_samples_per_second": 40.081,
|
| 1373 |
+
"eval_steps_per_second": 2.505,
|
| 1374 |
"step": 910
|
| 1375 |
},
|
| 1376 |
{
|
| 1377 |
"epoch": 1.1645569620253164,
|
| 1378 |
+
"grad_norm": 1.0790605545043945,
|
| 1379 |
"learning_rate": 3.059071729957806e-05,
|
| 1380 |
+
"loss": 0.2349,
|
| 1381 |
+
"step": 920
|
| 1382 |
+
},
|
| 1383 |
+
{
|
| 1384 |
+
"epoch": 1.1645569620253164,
|
| 1385 |
+
"eval_loss": 0.4986419081687927,
|
| 1386 |
+
"eval_runtime": 11.9784,
|
| 1387 |
+
"eval_samples_per_second": 40.072,
|
| 1388 |
+
"eval_steps_per_second": 2.505,
|
| 1389 |
"step": 920
|
| 1390 |
},
|
| 1391 |
{
|
| 1392 |
"epoch": 1.1772151898734178,
|
| 1393 |
+
"grad_norm": 0.8679695725440979,
|
| 1394 |
"learning_rate": 3.0379746835443042e-05,
|
| 1395 |
+
"loss": 0.2371,
|
| 1396 |
+
"step": 930
|
| 1397 |
+
},
|
| 1398 |
+
{
|
| 1399 |
+
"epoch": 1.1772151898734178,
|
| 1400 |
+
"eval_loss": 0.5016002655029297,
|
| 1401 |
+
"eval_runtime": 11.9852,
|
| 1402 |
+
"eval_samples_per_second": 40.049,
|
| 1403 |
+
"eval_steps_per_second": 2.503,
|
| 1404 |
"step": 930
|
| 1405 |
},
|
| 1406 |
{
|
| 1407 |
"epoch": 1.189873417721519,
|
| 1408 |
+
"grad_norm": 0.9647346138954163,
|
| 1409 |
"learning_rate": 3.0168776371308015e-05,
|
| 1410 |
+
"loss": 0.2458,
|
| 1411 |
+
"step": 940
|
| 1412 |
+
},
|
| 1413 |
+
{
|
| 1414 |
+
"epoch": 1.189873417721519,
|
| 1415 |
+
"eval_loss": 0.4908369183540344,
|
| 1416 |
+
"eval_runtime": 11.9702,
|
| 1417 |
+
"eval_samples_per_second": 40.1,
|
| 1418 |
+
"eval_steps_per_second": 2.506,
|
| 1419 |
"step": 940
|
| 1420 |
},
|
| 1421 |
{
|
| 1422 |
"epoch": 1.2025316455696202,
|
| 1423 |
+
"grad_norm": 1.1370365619659424,
|
| 1424 |
"learning_rate": 2.9957805907172998e-05,
|
| 1425 |
+
"loss": 0.2445,
|
| 1426 |
"step": 950
|
| 1427 |
},
|
| 1428 |
{
|
| 1429 |
"epoch": 1.2025316455696202,
|
| 1430 |
+
"eval_loss": 0.49214595556259155,
|
| 1431 |
+
"eval_runtime": 12.0126,
|
| 1432 |
+
"eval_samples_per_second": 39.958,
|
| 1433 |
+
"eval_steps_per_second": 2.497,
|
| 1434 |
"step": 950
|
| 1435 |
},
|
| 1436 |
{
|
| 1437 |
"epoch": 1.2151898734177216,
|
| 1438 |
+
"grad_norm": 0.9806302785873413,
|
| 1439 |
"learning_rate": 2.9746835443037974e-05,
|
| 1440 |
+
"loss": 0.2312,
|
| 1441 |
+
"step": 960
|
| 1442 |
+
},
|
| 1443 |
+
{
|
| 1444 |
+
"epoch": 1.2151898734177216,
|
| 1445 |
+
"eval_loss": 0.49411967396736145,
|
| 1446 |
+
"eval_runtime": 11.9848,
|
| 1447 |
+
"eval_samples_per_second": 40.051,
|
| 1448 |
+
"eval_steps_per_second": 2.503,
|
| 1449 |
"step": 960
|
| 1450 |
},
|
| 1451 |
{
|
| 1452 |
"epoch": 1.2278481012658227,
|
| 1453 |
+
"grad_norm": 1.3110421895980835,
|
| 1454 |
"learning_rate": 2.9535864978902954e-05,
|
| 1455 |
+
"loss": 0.232,
|
| 1456 |
+
"step": 970
|
| 1457 |
+
},
|
| 1458 |
+
{
|
| 1459 |
+
"epoch": 1.2278481012658227,
|
| 1460 |
+
"eval_loss": 0.4991765320301056,
|
| 1461 |
+
"eval_runtime": 11.9902,
|
| 1462 |
+
"eval_samples_per_second": 40.033,
|
| 1463 |
+
"eval_steps_per_second": 2.502,
|
| 1464 |
"step": 970
|
| 1465 |
},
|
| 1466 |
{
|
| 1467 |
"epoch": 1.240506329113924,
|
| 1468 |
+
"grad_norm": 1.0500195026397705,
|
| 1469 |
"learning_rate": 2.9324894514767937e-05,
|
| 1470 |
+
"loss": 0.2383,
|
| 1471 |
+
"step": 980
|
| 1472 |
+
},
|
| 1473 |
+
{
|
| 1474 |
+
"epoch": 1.240506329113924,
|
| 1475 |
+
"eval_loss": 0.49621057510375977,
|
| 1476 |
+
"eval_runtime": 12.0013,
|
| 1477 |
+
"eval_samples_per_second": 39.996,
|
| 1478 |
+
"eval_steps_per_second": 2.5,
|
| 1479 |
"step": 980
|
| 1480 |
},
|
| 1481 |
{
|
| 1482 |
"epoch": 1.2531645569620253,
|
| 1483 |
+
"grad_norm": 0.9941369891166687,
|
| 1484 |
"learning_rate": 2.9113924050632914e-05,
|
| 1485 |
+
"loss": 0.2476,
|
| 1486 |
+
"step": 990
|
| 1487 |
+
},
|
| 1488 |
+
{
|
| 1489 |
+
"epoch": 1.2531645569620253,
|
| 1490 |
+
"eval_loss": 0.49155521392822266,
|
| 1491 |
+
"eval_runtime": 11.9925,
|
| 1492 |
+
"eval_samples_per_second": 40.025,
|
| 1493 |
+
"eval_steps_per_second": 2.502,
|
| 1494 |
"step": 990
|
| 1495 |
},
|
| 1496 |
{
|
| 1497 |
"epoch": 1.2658227848101267,
|
| 1498 |
+
"grad_norm": 0.9125022888183594,
|
| 1499 |
"learning_rate": 2.8902953586497894e-05,
|
| 1500 |
+
"loss": 0.245,
|
| 1501 |
"step": 1000
|
| 1502 |
},
|
| 1503 |
{
|
| 1504 |
"epoch": 1.2658227848101267,
|
| 1505 |
+
"eval_loss": 0.48823124170303345,
|
| 1506 |
+
"eval_runtime": 12.0166,
|
| 1507 |
+
"eval_samples_per_second": 39.945,
|
| 1508 |
+
"eval_steps_per_second": 2.497,
|
| 1509 |
"step": 1000
|
| 1510 |
},
|
| 1511 |
{
|
| 1512 |
"epoch": 1.2784810126582278,
|
| 1513 |
+
"grad_norm": 1.117295265197754,
|
| 1514 |
"learning_rate": 2.869198312236287e-05,
|
| 1515 |
+
"loss": 0.2524,
|
| 1516 |
+
"step": 1010
|
| 1517 |
+
},
|
| 1518 |
+
{
|
| 1519 |
+
"epoch": 1.2784810126582278,
|
| 1520 |
+
"eval_loss": 0.49002018570899963,
|
| 1521 |
+
"eval_runtime": 12.0063,
|
| 1522 |
+
"eval_samples_per_second": 39.979,
|
| 1523 |
+
"eval_steps_per_second": 2.499,
|
| 1524 |
"step": 1010
|
| 1525 |
},
|
| 1526 |
{
|
| 1527 |
"epoch": 1.2911392405063291,
|
| 1528 |
+
"grad_norm": 0.8876442313194275,
|
| 1529 |
"learning_rate": 2.848101265822785e-05,
|
| 1530 |
+
"loss": 0.226,
|
| 1531 |
+
"step": 1020
|
| 1532 |
+
},
|
| 1533 |
+
{
|
| 1534 |
+
"epoch": 1.2911392405063291,
|
| 1535 |
+
"eval_loss": 0.49178546667099,
|
| 1536 |
+
"eval_runtime": 11.9934,
|
| 1537 |
+
"eval_samples_per_second": 40.022,
|
| 1538 |
+
"eval_steps_per_second": 2.501,
|
| 1539 |
"step": 1020
|
| 1540 |
},
|
| 1541 |
{
|
| 1542 |
"epoch": 1.3037974683544304,
|
| 1543 |
+
"grad_norm": 1.1132365465164185,
|
| 1544 |
"learning_rate": 2.8270042194092826e-05,
|
| 1545 |
+
"loss": 0.251,
|
| 1546 |
+
"step": 1030
|
| 1547 |
+
},
|
| 1548 |
+
{
|
| 1549 |
+
"epoch": 1.3037974683544304,
|
| 1550 |
+
"eval_loss": 0.48901158571243286,
|
| 1551 |
+
"eval_runtime": 12.0012,
|
| 1552 |
+
"eval_samples_per_second": 39.996,
|
| 1553 |
+
"eval_steps_per_second": 2.5,
|
| 1554 |
"step": 1030
|
| 1555 |
},
|
| 1556 |
{
|
| 1557 |
"epoch": 1.3164556962025316,
|
| 1558 |
+
"grad_norm": 0.955846905708313,
|
| 1559 |
"learning_rate": 2.805907172995781e-05,
|
| 1560 |
"loss": 0.24,
|
| 1561 |
"step": 1040
|
| 1562 |
},
|
| 1563 |
+
{
|
| 1564 |
+
"epoch": 1.3164556962025316,
|
| 1565 |
+
"eval_loss": 0.4916110932826996,
|
| 1566 |
+
"eval_runtime": 12.0084,
|
| 1567 |
+
"eval_samples_per_second": 39.972,
|
| 1568 |
+
"eval_steps_per_second": 2.498,
|
| 1569 |
+
"step": 1040
|
| 1570 |
+
},
|
| 1571 |
{
|
| 1572 |
"epoch": 1.3291139240506329,
|
| 1573 |
+
"grad_norm": 1.1728436946868896,
|
| 1574 |
"learning_rate": 2.7848101265822786e-05,
|
| 1575 |
+
"loss": 0.2468,
|
| 1576 |
"step": 1050
|
| 1577 |
},
|
| 1578 |
{
|
| 1579 |
"epoch": 1.3291139240506329,
|
| 1580 |
+
"eval_loss": 0.4856778383255005,
|
| 1581 |
+
"eval_runtime": 12.0257,
|
| 1582 |
+
"eval_samples_per_second": 39.914,
|
| 1583 |
+
"eval_steps_per_second": 2.495,
|
| 1584 |
"step": 1050
|
| 1585 |
},
|
| 1586 |
{
|
| 1587 |
"epoch": 1.3417721518987342,
|
| 1588 |
+
"grad_norm": 1.0737842321395874,
|
| 1589 |
"learning_rate": 2.7637130801687766e-05,
|
| 1590 |
+
"loss": 0.2452,
|
| 1591 |
+
"step": 1060
|
| 1592 |
+
},
|
| 1593 |
+
{
|
| 1594 |
+
"epoch": 1.3417721518987342,
|
| 1595 |
+
"eval_loss": 0.4862895607948303,
|
| 1596 |
+
"eval_runtime": 12.0173,
|
| 1597 |
+
"eval_samples_per_second": 39.942,
|
| 1598 |
+
"eval_steps_per_second": 2.496,
|
| 1599 |
"step": 1060
|
| 1600 |
},
|
| 1601 |
{
|
| 1602 |
"epoch": 1.3544303797468356,
|
| 1603 |
+
"grad_norm": 1.115880012512207,
|
| 1604 |
"learning_rate": 2.7426160337552742e-05,
|
| 1605 |
+
"loss": 0.2524,
|
| 1606 |
+
"step": 1070
|
| 1607 |
+
},
|
| 1608 |
+
{
|
| 1609 |
+
"epoch": 1.3544303797468356,
|
| 1610 |
+
"eval_loss": 0.49149009585380554,
|
| 1611 |
+
"eval_runtime": 12.0087,
|
| 1612 |
+
"eval_samples_per_second": 39.971,
|
| 1613 |
+
"eval_steps_per_second": 2.498,
|
| 1614 |
"step": 1070
|
| 1615 |
},
|
| 1616 |
{
|
| 1617 |
"epoch": 1.3670886075949367,
|
| 1618 |
+
"grad_norm": 1.0399274826049805,
|
| 1619 |
"learning_rate": 2.7215189873417722e-05,
|
| 1620 |
+
"loss": 0.2414,
|
| 1621 |
+
"step": 1080
|
| 1622 |
+
},
|
| 1623 |
+
{
|
| 1624 |
+
"epoch": 1.3670886075949367,
|
| 1625 |
+
"eval_loss": 0.4949911832809448,
|
| 1626 |
+
"eval_runtime": 12.0146,
|
| 1627 |
+
"eval_samples_per_second": 39.951,
|
| 1628 |
+
"eval_steps_per_second": 2.497,
|
| 1629 |
"step": 1080
|
| 1630 |
},
|
| 1631 |
{
|
| 1632 |
"epoch": 1.379746835443038,
|
| 1633 |
+
"grad_norm": 1.1653021574020386,
|
| 1634 |
"learning_rate": 2.7004219409282698e-05,
|
| 1635 |
+
"loss": 0.2474,
|
| 1636 |
+
"step": 1090
|
| 1637 |
+
},
|
| 1638 |
+
{
|
| 1639 |
+
"epoch": 1.379746835443038,
|
| 1640 |
+
"eval_loss": 0.4904167950153351,
|
| 1641 |
+
"eval_runtime": 12.0164,
|
| 1642 |
+
"eval_samples_per_second": 39.946,
|
| 1643 |
+
"eval_steps_per_second": 2.497,
|
| 1644 |
"step": 1090
|
| 1645 |
},
|
| 1646 |
{
|
| 1647 |
"epoch": 1.3924050632911391,
|
| 1648 |
+
"grad_norm": 1.0303146839141846,
|
| 1649 |
"learning_rate": 2.679324894514768e-05,
|
| 1650 |
+
"loss": 0.2307,
|
| 1651 |
"step": 1100
|
| 1652 |
},
|
| 1653 |
{
|
| 1654 |
"epoch": 1.3924050632911391,
|
| 1655 |
+
"eval_loss": 0.5017449855804443,
|
| 1656 |
+
"eval_runtime": 12.0065,
|
| 1657 |
+
"eval_samples_per_second": 39.978,
|
| 1658 |
+
"eval_steps_per_second": 2.499,
|
| 1659 |
"step": 1100
|
| 1660 |
},
|
| 1661 |
{
|
| 1662 |
"epoch": 1.4050632911392404,
|
| 1663 |
+
"grad_norm": 1.2822359800338745,
|
| 1664 |
"learning_rate": 2.6582278481012658e-05,
|
| 1665 |
+
"loss": 0.2305,
|
| 1666 |
+
"step": 1110
|
| 1667 |
+
},
|
| 1668 |
+
{
|
| 1669 |
+
"epoch": 1.4050632911392404,
|
| 1670 |
+
"eval_loss": 0.5108040571212769,
|
| 1671 |
+
"eval_runtime": 11.9991,
|
| 1672 |
+
"eval_samples_per_second": 40.003,
|
| 1673 |
+
"eval_steps_per_second": 2.5,
|
| 1674 |
"step": 1110
|
| 1675 |
},
|
| 1676 |
{
|
| 1677 |
"epoch": 1.4177215189873418,
|
| 1678 |
+
"grad_norm": 1.2391095161437988,
|
| 1679 |
"learning_rate": 2.6371308016877638e-05,
|
| 1680 |
+
"loss": 0.2417,
|
| 1681 |
+
"step": 1120
|
| 1682 |
+
},
|
| 1683 |
+
{
|
| 1684 |
+
"epoch": 1.4177215189873418,
|
| 1685 |
+
"eval_loss": 0.5006788969039917,
|
| 1686 |
+
"eval_runtime": 11.9945,
|
| 1687 |
+
"eval_samples_per_second": 40.018,
|
| 1688 |
+
"eval_steps_per_second": 2.501,
|
| 1689 |
"step": 1120
|
| 1690 |
},
|
| 1691 |
{
|
| 1692 |
"epoch": 1.4303797468354431,
|
| 1693 |
+
"grad_norm": 1.1016432046890259,
|
| 1694 |
"learning_rate": 2.616033755274262e-05,
|
| 1695 |
+
"loss": 0.2365,
|
| 1696 |
+
"step": 1130
|
| 1697 |
+
},
|
| 1698 |
+
{
|
| 1699 |
+
"epoch": 1.4303797468354431,
|
| 1700 |
+
"eval_loss": 0.5026251673698425,
|
| 1701 |
+
"eval_runtime": 12.0033,
|
| 1702 |
+
"eval_samples_per_second": 39.989,
|
| 1703 |
+
"eval_steps_per_second": 2.499,
|
| 1704 |
"step": 1130
|
| 1705 |
},
|
| 1706 |
{
|
| 1707 |
"epoch": 1.4430379746835442,
|
| 1708 |
+
"grad_norm": 1.0863171815872192,
|
| 1709 |
"learning_rate": 2.5949367088607597e-05,
|
| 1710 |
+
"loss": 0.2371,
|
| 1711 |
+
"step": 1140
|
| 1712 |
+
},
|
| 1713 |
+
{
|
| 1714 |
+
"epoch": 1.4430379746835442,
|
| 1715 |
+
"eval_loss": 0.5024216175079346,
|
| 1716 |
+
"eval_runtime": 11.9806,
|
| 1717 |
+
"eval_samples_per_second": 40.065,
|
| 1718 |
+
"eval_steps_per_second": 2.504,
|
| 1719 |
"step": 1140
|
| 1720 |
},
|
| 1721 |
{
|
| 1722 |
"epoch": 1.4556962025316456,
|
| 1723 |
+
"grad_norm": 0.9490317106246948,
|
| 1724 |
"learning_rate": 2.5738396624472577e-05,
|
| 1725 |
+
"loss": 0.2369,
|
| 1726 |
"step": 1150
|
| 1727 |
},
|
| 1728 |
{
|
| 1729 |
"epoch": 1.4556962025316456,
|
| 1730 |
+
"eval_loss": 0.50079745054245,
|
| 1731 |
+
"eval_runtime": 11.98,
|
| 1732 |
+
"eval_samples_per_second": 40.067,
|
| 1733 |
+
"eval_steps_per_second": 2.504,
|
| 1734 |
"step": 1150
|
| 1735 |
},
|
| 1736 |
{
|
| 1737 |
"epoch": 1.4683544303797469,
|
| 1738 |
+
"grad_norm": 0.9962586760520935,
|
| 1739 |
"learning_rate": 2.5527426160337553e-05,
|
| 1740 |
+
"loss": 0.2253,
|
| 1741 |
+
"step": 1160
|
| 1742 |
+
},
|
| 1743 |
+
{
|
| 1744 |
+
"epoch": 1.4683544303797469,
|
| 1745 |
+
"eval_loss": 0.5059595704078674,
|
| 1746 |
+
"eval_runtime": 11.995,
|
| 1747 |
+
"eval_samples_per_second": 40.017,
|
| 1748 |
+
"eval_steps_per_second": 2.501,
|
| 1749 |
"step": 1160
|
| 1750 |
},
|
| 1751 |
{
|
| 1752 |
"epoch": 1.481012658227848,
|
| 1753 |
+
"grad_norm": 1.2851423025131226,
|
| 1754 |
"learning_rate": 2.5316455696202533e-05,
|
| 1755 |
"loss": 0.2321,
|
| 1756 |
"step": 1170
|
| 1757 |
},
|
| 1758 |
+
{
|
| 1759 |
+
"epoch": 1.481012658227848,
|
| 1760 |
+
"eval_loss": 0.5066316723823547,
|
| 1761 |
+
"eval_runtime": 11.9831,
|
| 1762 |
+
"eval_samples_per_second": 40.056,
|
| 1763 |
+
"eval_steps_per_second": 2.504,
|
| 1764 |
+
"step": 1170
|
| 1765 |
+
},
|
| 1766 |
{
|
| 1767 |
"epoch": 1.4936708860759493,
|
| 1768 |
+
"grad_norm": 1.130200743675232,
|
| 1769 |
"learning_rate": 2.510548523206751e-05,
|
| 1770 |
+
"loss": 0.2327,
|
| 1771 |
+
"step": 1180
|
| 1772 |
+
},
|
| 1773 |
+
{
|
| 1774 |
+
"epoch": 1.4936708860759493,
|
| 1775 |
+
"eval_loss": 0.5000527501106262,
|
| 1776 |
+
"eval_runtime": 12.0107,
|
| 1777 |
+
"eval_samples_per_second": 39.964,
|
| 1778 |
+
"eval_steps_per_second": 2.498,
|
| 1779 |
"step": 1180
|
| 1780 |
},
|
| 1781 |
{
|
| 1782 |
"epoch": 1.5063291139240507,
|
| 1783 |
+
"grad_norm": 1.2298842668533325,
|
| 1784 |
"learning_rate": 2.4894514767932493e-05,
|
| 1785 |
+
"loss": 0.226,
|
| 1786 |
+
"step": 1190
|
| 1787 |
+
},
|
| 1788 |
+
{
|
| 1789 |
+
"epoch": 1.5063291139240507,
|
| 1790 |
+
"eval_loss": 0.5038193464279175,
|
| 1791 |
+
"eval_runtime": 11.9833,
|
| 1792 |
+
"eval_samples_per_second": 40.056,
|
| 1793 |
+
"eval_steps_per_second": 2.503,
|
| 1794 |
"step": 1190
|
| 1795 |
},
|
| 1796 |
{
|
| 1797 |
"epoch": 1.518987341772152,
|
| 1798 |
+
"grad_norm": 1.0125024318695068,
|
| 1799 |
"learning_rate": 2.468354430379747e-05,
|
| 1800 |
+
"loss": 0.2253,
|
| 1801 |
"step": 1200
|
| 1802 |
},
|
| 1803 |
{
|
| 1804 |
"epoch": 1.518987341772152,
|
| 1805 |
+
"eval_loss": 0.5082682967185974,
|
| 1806 |
+
"eval_runtime": 11.9764,
|
| 1807 |
+
"eval_samples_per_second": 40.079,
|
| 1808 |
+
"eval_steps_per_second": 2.505,
|
| 1809 |
"step": 1200
|
| 1810 |
},
|
| 1811 |
{
|
| 1812 |
"epoch": 1.5316455696202531,
|
| 1813 |
+
"grad_norm": 0.8856953382492065,
|
| 1814 |
"learning_rate": 2.447257383966245e-05,
|
| 1815 |
+
"loss": 0.223,
|
| 1816 |
+
"step": 1210
|
| 1817 |
+
},
|
| 1818 |
+
{
|
| 1819 |
+
"epoch": 1.5316455696202531,
|
| 1820 |
+
"eval_loss": 0.512407660484314,
|
| 1821 |
+
"eval_runtime": 12.0193,
|
| 1822 |
+
"eval_samples_per_second": 39.936,
|
| 1823 |
+
"eval_steps_per_second": 2.496,
|
| 1824 |
"step": 1210
|
| 1825 |
},
|
| 1826 |
{
|
| 1827 |
"epoch": 1.5443037974683544,
|
| 1828 |
+
"grad_norm": 1.1997041702270508,
|
| 1829 |
"learning_rate": 2.426160337552743e-05,
|
| 1830 |
+
"loss": 0.2166,
|
| 1831 |
+
"step": 1220
|
| 1832 |
+
},
|
| 1833 |
+
{
|
| 1834 |
+
"epoch": 1.5443037974683544,
|
| 1835 |
+
"eval_loss": 0.5125023722648621,
|
| 1836 |
+
"eval_runtime": 11.9717,
|
| 1837 |
+
"eval_samples_per_second": 40.094,
|
| 1838 |
+
"eval_steps_per_second": 2.506,
|
| 1839 |
"step": 1220
|
| 1840 |
},
|
| 1841 |
{
|
| 1842 |
"epoch": 1.5569620253164556,
|
| 1843 |
+
"grad_norm": 1.145023226737976,
|
| 1844 |
"learning_rate": 2.4050632911392405e-05,
|
| 1845 |
+
"loss": 0.229,
|
| 1846 |
+
"step": 1230
|
| 1847 |
+
},
|
| 1848 |
+
{
|
| 1849 |
+
"epoch": 1.5569620253164556,
|
| 1850 |
+
"eval_loss": 0.5093728303909302,
|
| 1851 |
+
"eval_runtime": 11.9691,
|
| 1852 |
+
"eval_samples_per_second": 40.103,
|
| 1853 |
+
"eval_steps_per_second": 2.506,
|
| 1854 |
"step": 1230
|
| 1855 |
},
|
| 1856 |
{
|
| 1857 |
"epoch": 1.5696202531645569,
|
| 1858 |
+
"grad_norm": 1.4955825805664062,
|
| 1859 |
"learning_rate": 2.3839662447257385e-05,
|
| 1860 |
+
"loss": 0.2244,
|
| 1861 |
+
"step": 1240
|
| 1862 |
+
},
|
| 1863 |
+
{
|
| 1864 |
+
"epoch": 1.5696202531645569,
|
| 1865 |
+
"eval_loss": 0.517650306224823,
|
| 1866 |
+
"eval_runtime": 11.9672,
|
| 1867 |
+
"eval_samples_per_second": 40.11,
|
| 1868 |
+
"eval_steps_per_second": 2.507,
|
| 1869 |
"step": 1240
|
| 1870 |
},
|
| 1871 |
{
|
| 1872 |
"epoch": 1.5822784810126582,
|
| 1873 |
+
"grad_norm": 1.0501965284347534,
|
| 1874 |
"learning_rate": 2.3628691983122365e-05,
|
| 1875 |
+
"loss": 0.2189,
|
| 1876 |
"step": 1250
|
| 1877 |
},
|
| 1878 |
{
|
| 1879 |
"epoch": 1.5822784810126582,
|
| 1880 |
+
"eval_loss": 0.5201436877250671,
|
| 1881 |
+
"eval_runtime": 12.0142,
|
| 1882 |
+
"eval_samples_per_second": 39.953,
|
| 1883 |
+
"eval_steps_per_second": 2.497,
|
| 1884 |
"step": 1250
|
| 1885 |
},
|
| 1886 |
{
|
| 1887 |
"epoch": 1.5949367088607596,
|
| 1888 |
+
"grad_norm": 1.226491093635559,
|
| 1889 |
"learning_rate": 2.341772151898734e-05,
|
| 1890 |
+
"loss": 0.2199,
|
| 1891 |
+
"step": 1260
|
| 1892 |
+
},
|
| 1893 |
+
{
|
| 1894 |
+
"epoch": 1.5949367088607596,
|
| 1895 |
+
"eval_loss": 0.518064558506012,
|
| 1896 |
+
"eval_runtime": 11.9747,
|
| 1897 |
+
"eval_samples_per_second": 40.084,
|
| 1898 |
+
"eval_steps_per_second": 2.505,
|
| 1899 |
"step": 1260
|
| 1900 |
},
|
| 1901 |
{
|
| 1902 |
"epoch": 1.6075949367088609,
|
| 1903 |
+
"grad_norm": 1.477759599685669,
|
| 1904 |
"learning_rate": 2.320675105485232e-05,
|
| 1905 |
+
"loss": 0.2304,
|
| 1906 |
+
"step": 1270
|
| 1907 |
+
},
|
| 1908 |
+
{
|
| 1909 |
+
"epoch": 1.6075949367088609,
|
| 1910 |
+
"eval_loss": 0.5239500999450684,
|
| 1911 |
+
"eval_runtime": 11.9812,
|
| 1912 |
+
"eval_samples_per_second": 40.063,
|
| 1913 |
+
"eval_steps_per_second": 2.504,
|
| 1914 |
"step": 1270
|
| 1915 |
},
|
| 1916 |
{
|
| 1917 |
"epoch": 1.620253164556962,
|
| 1918 |
+
"grad_norm": 1.4760652780532837,
|
| 1919 |
"learning_rate": 2.29957805907173e-05,
|
| 1920 |
+
"loss": 0.2246,
|
| 1921 |
+
"step": 1280
|
| 1922 |
+
},
|
| 1923 |
+
{
|
| 1924 |
+
"epoch": 1.620253164556962,
|
| 1925 |
+
"eval_loss": 0.5147300362586975,
|
| 1926 |
+
"eval_runtime": 12.0066,
|
| 1927 |
+
"eval_samples_per_second": 39.978,
|
| 1928 |
+
"eval_steps_per_second": 2.499,
|
| 1929 |
"step": 1280
|
| 1930 |
},
|
| 1931 |
{
|
| 1932 |
"epoch": 1.6329113924050633,
|
| 1933 |
+
"grad_norm": 0.9046204686164856,
|
| 1934 |
"learning_rate": 2.278481012658228e-05,
|
| 1935 |
+
"loss": 0.2226,
|
| 1936 |
+
"step": 1290
|
| 1937 |
+
},
|
| 1938 |
+
{
|
| 1939 |
+
"epoch": 1.6329113924050633,
|
| 1940 |
+
"eval_loss": 0.5135796070098877,
|
| 1941 |
+
"eval_runtime": 11.9818,
|
| 1942 |
+
"eval_samples_per_second": 40.061,
|
| 1943 |
+
"eval_steps_per_second": 2.504,
|
| 1944 |
"step": 1290
|
| 1945 |
},
|
| 1946 |
{
|
| 1947 |
"epoch": 1.6455696202531644,
|
| 1948 |
+
"grad_norm": 1.2138513326644897,
|
| 1949 |
"learning_rate": 2.2573839662447257e-05,
|
| 1950 |
+
"loss": 0.2204,
|
| 1951 |
"step": 1300
|
| 1952 |
},
|
| 1953 |
{
|
| 1954 |
"epoch": 1.6455696202531644,
|
| 1955 |
+
"eval_loss": 0.5264008641242981,
|
| 1956 |
+
"eval_runtime": 11.9901,
|
| 1957 |
+
"eval_samples_per_second": 40.033,
|
| 1958 |
+
"eval_steps_per_second": 2.502,
|
| 1959 |
"step": 1300
|
| 1960 |
},
|
| 1961 |
{
|
| 1962 |
"epoch": 1.6582278481012658,
|
| 1963 |
+
"grad_norm": 1.1816976070404053,
|
| 1964 |
"learning_rate": 2.2362869198312237e-05,
|
| 1965 |
+
"loss": 0.2191,
|
| 1966 |
+
"step": 1310
|
| 1967 |
+
},
|
| 1968 |
+
{
|
| 1969 |
+
"epoch": 1.6582278481012658,
|
| 1970 |
+
"eval_loss": 0.5263369083404541,
|
| 1971 |
+
"eval_runtime": 12.0084,
|
| 1972 |
+
"eval_samples_per_second": 39.972,
|
| 1973 |
+
"eval_steps_per_second": 2.498,
|
| 1974 |
"step": 1310
|
| 1975 |
},
|
| 1976 |
{
|
| 1977 |
"epoch": 1.6708860759493671,
|
| 1978 |
+
"grad_norm": 1.2459923028945923,
|
| 1979 |
"learning_rate": 2.2151898734177217e-05,
|
| 1980 |
+
"loss": 0.2197,
|
| 1981 |
+
"step": 1320
|
| 1982 |
+
},
|
| 1983 |
+
{
|
| 1984 |
+
"epoch": 1.6708860759493671,
|
| 1985 |
+
"eval_loss": 0.524377167224884,
|
| 1986 |
+
"eval_runtime": 12.0226,
|
| 1987 |
+
"eval_samples_per_second": 39.925,
|
| 1988 |
+
"eval_steps_per_second": 2.495,
|
| 1989 |
"step": 1320
|
| 1990 |
},
|
| 1991 |
{
|
| 1992 |
"epoch": 1.6835443037974684,
|
| 1993 |
+
"grad_norm": 1.0651572942733765,
|
| 1994 |
"learning_rate": 2.1940928270042196e-05,
|
| 1995 |
+
"loss": 0.2104,
|
| 1996 |
+
"step": 1330
|
| 1997 |
+
},
|
| 1998 |
+
{
|
| 1999 |
+
"epoch": 1.6835443037974684,
|
| 2000 |
+
"eval_loss": 0.5344482660293579,
|
| 2001 |
+
"eval_runtime": 12.0113,
|
| 2002 |
+
"eval_samples_per_second": 39.962,
|
| 2003 |
+
"eval_steps_per_second": 2.498,
|
| 2004 |
"step": 1330
|
| 2005 |
},
|
| 2006 |
{
|
| 2007 |
"epoch": 1.6962025316455698,
|
| 2008 |
+
"grad_norm": 1.2068021297454834,
|
| 2009 |
"learning_rate": 2.1729957805907176e-05,
|
| 2010 |
+
"loss": 0.2216,
|
| 2011 |
+
"step": 1340
|
| 2012 |
+
},
|
| 2013 |
+
{
|
| 2014 |
+
"epoch": 1.6962025316455698,
|
| 2015 |
+
"eval_loss": 0.532943069934845,
|
| 2016 |
+
"eval_runtime": 12.019,
|
| 2017 |
+
"eval_samples_per_second": 39.937,
|
| 2018 |
+
"eval_steps_per_second": 2.496,
|
| 2019 |
"step": 1340
|
| 2020 |
},
|
| 2021 |
{
|
| 2022 |
"epoch": 1.7088607594936709,
|
| 2023 |
+
"grad_norm": 1.076102614402771,
|
| 2024 |
"learning_rate": 2.1518987341772153e-05,
|
| 2025 |
+
"loss": 0.2154,
|
| 2026 |
"step": 1350
|
| 2027 |
},
|
| 2028 |
{
|
| 2029 |
"epoch": 1.7088607594936709,
|
| 2030 |
+
"eval_loss": 0.5252193212509155,
|
| 2031 |
+
"eval_runtime": 12.0124,
|
| 2032 |
+
"eval_samples_per_second": 39.959,
|
| 2033 |
+
"eval_steps_per_second": 2.497,
|
| 2034 |
"step": 1350
|
| 2035 |
},
|
| 2036 |
{
|
| 2037 |
"epoch": 1.721518987341772,
|
| 2038 |
+
"grad_norm": 1.187601089477539,
|
| 2039 |
"learning_rate": 2.1308016877637132e-05,
|
| 2040 |
+
"loss": 0.222,
|
| 2041 |
+
"step": 1360
|
| 2042 |
+
},
|
| 2043 |
+
{
|
| 2044 |
+
"epoch": 1.721518987341772,
|
| 2045 |
+
"eval_loss": 0.529236912727356,
|
| 2046 |
+
"eval_runtime": 12.0085,
|
| 2047 |
+
"eval_samples_per_second": 39.972,
|
| 2048 |
+
"eval_steps_per_second": 2.498,
|
| 2049 |
"step": 1360
|
| 2050 |
},
|
| 2051 |
{
|
| 2052 |
"epoch": 1.7341772151898733,
|
| 2053 |
+
"grad_norm": 1.5633349418640137,
|
| 2054 |
"learning_rate": 2.1097046413502112e-05,
|
| 2055 |
+
"loss": 0.2126,
|
| 2056 |
+
"step": 1370
|
| 2057 |
+
},
|
| 2058 |
+
{
|
| 2059 |
+
"epoch": 1.7341772151898733,
|
| 2060 |
+
"eval_loss": 0.5363233685493469,
|
| 2061 |
+
"eval_runtime": 12.0383,
|
| 2062 |
+
"eval_samples_per_second": 39.873,
|
| 2063 |
+
"eval_steps_per_second": 2.492,
|
| 2064 |
"step": 1370
|
| 2065 |
},
|
| 2066 |
{
|
| 2067 |
"epoch": 1.7468354430379747,
|
| 2068 |
+
"grad_norm": 1.088030457496643,
|
| 2069 |
"learning_rate": 2.088607594936709e-05,
|
| 2070 |
+
"loss": 0.2081,
|
| 2071 |
+
"step": 1380
|
| 2072 |
+
},
|
| 2073 |
+
{
|
| 2074 |
+
"epoch": 1.7468354430379747,
|
| 2075 |
+
"eval_loss": 0.5498476624488831,
|
| 2076 |
+
"eval_runtime": 11.9995,
|
| 2077 |
+
"eval_samples_per_second": 40.002,
|
| 2078 |
+
"eval_steps_per_second": 2.5,
|
| 2079 |
"step": 1380
|
| 2080 |
},
|
| 2081 |
{
|
| 2082 |
"epoch": 1.759493670886076,
|
| 2083 |
+
"grad_norm": 1.2748924493789673,
|
| 2084 |
"learning_rate": 2.067510548523207e-05,
|
| 2085 |
+
"loss": 0.2196,
|
| 2086 |
+
"step": 1390
|
| 2087 |
+
},
|
| 2088 |
+
{
|
| 2089 |
+
"epoch": 1.759493670886076,
|
| 2090 |
+
"eval_loss": 0.5448021292686462,
|
| 2091 |
+
"eval_runtime": 12.0058,
|
| 2092 |
+
"eval_samples_per_second": 39.981,
|
| 2093 |
+
"eval_steps_per_second": 2.499,
|
| 2094 |
"step": 1390
|
| 2095 |
},
|
| 2096 |
{
|
| 2097 |
"epoch": 1.7721518987341773,
|
| 2098 |
+
"grad_norm": 1.4678008556365967,
|
| 2099 |
"learning_rate": 2.0464135021097048e-05,
|
| 2100 |
+
"loss": 0.2134,
|
| 2101 |
"step": 1400
|
| 2102 |
},
|
| 2103 |
{
|
| 2104 |
"epoch": 1.7721518987341773,
|
| 2105 |
+
"eval_loss": 0.5372359156608582,
|
| 2106 |
+
"eval_runtime": 11.9957,
|
| 2107 |
+
"eval_samples_per_second": 40.014,
|
| 2108 |
+
"eval_steps_per_second": 2.501,
|
| 2109 |
"step": 1400
|
| 2110 |
},
|
| 2111 |
{
|
| 2112 |
"epoch": 1.7848101265822784,
|
| 2113 |
+
"grad_norm": 0.9997312426567078,
|
| 2114 |
"learning_rate": 2.0253164556962025e-05,
|
| 2115 |
+
"loss": 0.2117,
|
| 2116 |
+
"step": 1410
|
| 2117 |
+
},
|
| 2118 |
+
{
|
| 2119 |
+
"epoch": 1.7848101265822784,
|
| 2120 |
+
"eval_loss": 0.5349189639091492,
|
| 2121 |
+
"eval_runtime": 11.9827,
|
| 2122 |
+
"eval_samples_per_second": 40.058,
|
| 2123 |
+
"eval_steps_per_second": 2.504,
|
| 2124 |
"step": 1410
|
| 2125 |
},
|
| 2126 |
{
|
| 2127 |
"epoch": 1.7974683544303798,
|
| 2128 |
+
"grad_norm": 1.3115603923797607,
|
| 2129 |
"learning_rate": 2.0042194092827004e-05,
|
| 2130 |
+
"loss": 0.2161,
|
| 2131 |
+
"step": 1420
|
| 2132 |
+
},
|
| 2133 |
+
{
|
| 2134 |
+
"epoch": 1.7974683544303798,
|
| 2135 |
+
"eval_loss": 0.5366716980934143,
|
| 2136 |
+
"eval_runtime": 12.0401,
|
| 2137 |
+
"eval_samples_per_second": 39.867,
|
| 2138 |
+
"eval_steps_per_second": 2.492,
|
| 2139 |
"step": 1420
|
| 2140 |
},
|
| 2141 |
{
|
| 2142 |
"epoch": 1.810126582278481,
|
| 2143 |
+
"grad_norm": 1.1417936086654663,
|
| 2144 |
"learning_rate": 1.9831223628691984e-05,
|
| 2145 |
+
"loss": 0.2131,
|
| 2146 |
+
"step": 1430
|
| 2147 |
+
},
|
| 2148 |
+
{
|
| 2149 |
+
"epoch": 1.810126582278481,
|
| 2150 |
+
"eval_loss": 0.5433976650238037,
|
| 2151 |
+
"eval_runtime": 11.9842,
|
| 2152 |
+
"eval_samples_per_second": 40.053,
|
| 2153 |
+
"eval_steps_per_second": 2.503,
|
| 2154 |
"step": 1430
|
| 2155 |
},
|
| 2156 |
{
|
| 2157 |
"epoch": 1.8227848101265822,
|
| 2158 |
+
"grad_norm": 1.48397696018219,
|
| 2159 |
"learning_rate": 1.962025316455696e-05,
|
| 2160 |
+
"loss": 0.2253,
|
| 2161 |
+
"step": 1440
|
| 2162 |
+
},
|
| 2163 |
+
{
|
| 2164 |
+
"epoch": 1.8227848101265822,
|
| 2165 |
+
"eval_loss": 0.5409865975379944,
|
| 2166 |
+
"eval_runtime": 11.9832,
|
| 2167 |
+
"eval_samples_per_second": 40.056,
|
| 2168 |
+
"eval_steps_per_second": 2.503,
|
| 2169 |
"step": 1440
|
| 2170 |
},
|
| 2171 |
{
|
| 2172 |
"epoch": 1.8354430379746836,
|
| 2173 |
+
"grad_norm": 1.1264500617980957,
|
| 2174 |
"learning_rate": 1.940928270042194e-05,
|
| 2175 |
+
"loss": 0.211,
|
| 2176 |
"step": 1450
|
| 2177 |
},
|
| 2178 |
{
|
| 2179 |
"epoch": 1.8354430379746836,
|
| 2180 |
+
"eval_loss": 0.5395857095718384,
|
| 2181 |
+
"eval_runtime": 11.9688,
|
| 2182 |
+
"eval_samples_per_second": 40.104,
|
| 2183 |
+
"eval_steps_per_second": 2.507,
|
| 2184 |
"step": 1450
|
| 2185 |
},
|
| 2186 |
{
|
| 2187 |
"epoch": 1.8481012658227849,
|
| 2188 |
+
"grad_norm": 1.327398419380188,
|
| 2189 |
"learning_rate": 1.919831223628692e-05,
|
| 2190 |
+
"loss": 0.2129,
|
| 2191 |
+
"step": 1460
|
| 2192 |
+
},
|
| 2193 |
+
{
|
| 2194 |
+
"epoch": 1.8481012658227849,
|
| 2195 |
+
"eval_loss": 0.5368807911872864,
|
| 2196 |
+
"eval_runtime": 11.9903,
|
| 2197 |
+
"eval_samples_per_second": 40.032,
|
| 2198 |
+
"eval_steps_per_second": 2.502,
|
| 2199 |
"step": 1460
|
| 2200 |
},
|
| 2201 |
{
|
| 2202 |
"epoch": 1.8607594936708862,
|
| 2203 |
+
"grad_norm": 1.0291297435760498,
|
| 2204 |
"learning_rate": 1.89873417721519e-05,
|
| 2205 |
+
"loss": 0.2171,
|
| 2206 |
+
"step": 1470
|
| 2207 |
+
},
|
| 2208 |
+
{
|
| 2209 |
+
"epoch": 1.8607594936708862,
|
| 2210 |
+
"eval_loss": 0.5369778871536255,
|
| 2211 |
+
"eval_runtime": 11.9701,
|
| 2212 |
+
"eval_samples_per_second": 40.1,
|
| 2213 |
+
"eval_steps_per_second": 2.506,
|
| 2214 |
"step": 1470
|
| 2215 |
},
|
| 2216 |
{
|
| 2217 |
"epoch": 1.8734177215189873,
|
| 2218 |
+
"grad_norm": 1.253151774406433,
|
| 2219 |
"learning_rate": 1.877637130801688e-05,
|
| 2220 |
+
"loss": 0.2063,
|
| 2221 |
+
"step": 1480
|
| 2222 |
+
},
|
| 2223 |
+
{
|
| 2224 |
+
"epoch": 1.8734177215189873,
|
| 2225 |
+
"eval_loss": 0.5478894710540771,
|
| 2226 |
+
"eval_runtime": 11.9724,
|
| 2227 |
+
"eval_samples_per_second": 40.092,
|
| 2228 |
+
"eval_steps_per_second": 2.506,
|
| 2229 |
"step": 1480
|
| 2230 |
},
|
| 2231 |
{
|
| 2232 |
"epoch": 1.8860759493670884,
|
| 2233 |
+
"grad_norm": 1.1835122108459473,
|
| 2234 |
"learning_rate": 1.856540084388186e-05,
|
| 2235 |
+
"loss": 0.1911,
|
| 2236 |
+
"step": 1490
|
| 2237 |
+
},
|
| 2238 |
+
{
|
| 2239 |
+
"epoch": 1.8860759493670884,
|
| 2240 |
+
"eval_loss": 0.5616199970245361,
|
| 2241 |
+
"eval_runtime": 11.9946,
|
| 2242 |
+
"eval_samples_per_second": 40.018,
|
| 2243 |
+
"eval_steps_per_second": 2.501,
|
| 2244 |
"step": 1490
|
| 2245 |
},
|
| 2246 |
{
|
| 2247 |
"epoch": 1.8987341772151898,
|
| 2248 |
+
"grad_norm": 1.242970585823059,
|
| 2249 |
"learning_rate": 1.8354430379746836e-05,
|
| 2250 |
+
"loss": 0.2018,
|
| 2251 |
"step": 1500
|
| 2252 |
},
|
| 2253 |
{
|
| 2254 |
"epoch": 1.8987341772151898,
|
| 2255 |
+
"eval_loss": 0.5611682534217834,
|
| 2256 |
+
"eval_runtime": 11.9806,
|
| 2257 |
+
"eval_samples_per_second": 40.065,
|
| 2258 |
+
"eval_steps_per_second": 2.504,
|
| 2259 |
"step": 1500
|
| 2260 |
},
|
| 2261 |
{
|
| 2262 |
"epoch": 1.9113924050632911,
|
| 2263 |
+
"grad_norm": 1.0423119068145752,
|
| 2264 |
"learning_rate": 1.8143459915611816e-05,
|
| 2265 |
+
"loss": 0.206,
|
| 2266 |
+
"step": 1510
|
| 2267 |
+
},
|
| 2268 |
+
{
|
| 2269 |
+
"epoch": 1.9113924050632911,
|
| 2270 |
+
"eval_loss": 0.5580861568450928,
|
| 2271 |
+
"eval_runtime": 11.9783,
|
| 2272 |
+
"eval_samples_per_second": 40.073,
|
| 2273 |
+
"eval_steps_per_second": 2.505,
|
| 2274 |
"step": 1510
|
| 2275 |
},
|
| 2276 |
{
|
| 2277 |
"epoch": 1.9240506329113924,
|
| 2278 |
+
"grad_norm": 1.437699317932129,
|
| 2279 |
"learning_rate": 1.7932489451476795e-05,
|
| 2280 |
+
"loss": 0.2076,
|
| 2281 |
+
"step": 1520
|
| 2282 |
+
},
|
| 2283 |
+
{
|
| 2284 |
+
"epoch": 1.9240506329113924,
|
| 2285 |
+
"eval_loss": 0.5540499091148376,
|
| 2286 |
+
"eval_runtime": 11.9875,
|
| 2287 |
+
"eval_samples_per_second": 40.042,
|
| 2288 |
+
"eval_steps_per_second": 2.503,
|
| 2289 |
"step": 1520
|
| 2290 |
},
|
| 2291 |
{
|
| 2292 |
"epoch": 1.9367088607594938,
|
| 2293 |
+
"grad_norm": 1.3500527143478394,
|
| 2294 |
"learning_rate": 1.7721518987341772e-05,
|
| 2295 |
+
"loss": 0.2008,
|
| 2296 |
+
"step": 1530
|
| 2297 |
+
},
|
| 2298 |
+
{
|
| 2299 |
+
"epoch": 1.9367088607594938,
|
| 2300 |
+
"eval_loss": 0.5541906952857971,
|
| 2301 |
+
"eval_runtime": 11.9936,
|
| 2302 |
+
"eval_samples_per_second": 40.021,
|
| 2303 |
+
"eval_steps_per_second": 2.501,
|
| 2304 |
"step": 1530
|
| 2305 |
},
|
| 2306 |
{
|
| 2307 |
"epoch": 1.9493670886075949,
|
| 2308 |
+
"grad_norm": 1.072831630706787,
|
| 2309 |
"learning_rate": 1.751054852320675e-05,
|
| 2310 |
+
"loss": 0.2059,
|
| 2311 |
+
"step": 1540
|
| 2312 |
+
},
|
| 2313 |
+
{
|
| 2314 |
+
"epoch": 1.9493670886075949,
|
| 2315 |
+
"eval_loss": 0.5530675053596497,
|
| 2316 |
+
"eval_runtime": 12.0161,
|
| 2317 |
+
"eval_samples_per_second": 39.946,
|
| 2318 |
+
"eval_steps_per_second": 2.497,
|
| 2319 |
"step": 1540
|
| 2320 |
},
|
| 2321 |
{
|
| 2322 |
"epoch": 1.9620253164556962,
|
| 2323 |
+
"grad_norm": 0.9840304851531982,
|
| 2324 |
"learning_rate": 1.729957805907173e-05,
|
| 2325 |
+
"loss": 0.1959,
|
| 2326 |
"step": 1550
|
| 2327 |
},
|
| 2328 |
{
|
| 2329 |
"epoch": 1.9620253164556962,
|
| 2330 |
+
"eval_loss": 0.5577276945114136,
|
| 2331 |
+
"eval_runtime": 12.0016,
|
| 2332 |
+
"eval_samples_per_second": 39.995,
|
| 2333 |
+
"eval_steps_per_second": 2.5,
|
| 2334 |
"step": 1550
|
| 2335 |
},
|
| 2336 |
{
|
| 2337 |
"epoch": 1.9746835443037973,
|
| 2338 |
+
"grad_norm": 1.2515734434127808,
|
| 2339 |
"learning_rate": 1.7088607594936708e-05,
|
| 2340 |
+
"loss": 0.2066,
|
| 2341 |
+
"step": 1560
|
| 2342 |
+
},
|
| 2343 |
+
{
|
| 2344 |
+
"epoch": 1.9746835443037973,
|
| 2345 |
+
"eval_loss": 0.5662820339202881,
|
| 2346 |
+
"eval_runtime": 12.0136,
|
| 2347 |
+
"eval_samples_per_second": 39.955,
|
| 2348 |
+
"eval_steps_per_second": 2.497,
|
| 2349 |
"step": 1560
|
| 2350 |
},
|
| 2351 |
{
|
| 2352 |
"epoch": 1.9873417721518987,
|
| 2353 |
+
"grad_norm": 1.0997124910354614,
|
| 2354 |
"learning_rate": 1.6877637130801688e-05,
|
| 2355 |
+
"loss": 0.196,
|
| 2356 |
+
"step": 1570
|
| 2357 |
+
},
|
| 2358 |
+
{
|
| 2359 |
+
"epoch": 1.9873417721518987,
|
| 2360 |
+
"eval_loss": 0.5792649388313293,
|
| 2361 |
+
"eval_runtime": 12.0117,
|
| 2362 |
+
"eval_samples_per_second": 39.961,
|
| 2363 |
+
"eval_steps_per_second": 2.498,
|
| 2364 |
"step": 1570
|
| 2365 |
},
|
| 2366 |
{
|
| 2367 |
"epoch": 2.0,
|
| 2368 |
+
"grad_norm": 2.4227662086486816,
|
| 2369 |
"learning_rate": 1.6666666666666667e-05,
|
| 2370 |
+
"loss": 0.2056,
|
| 2371 |
+
"step": 1580
|
| 2372 |
+
},
|
| 2373 |
+
{
|
| 2374 |
+
"epoch": 2.0,
|
| 2375 |
+
"eval_loss": 0.5810548067092896,
|
| 2376 |
+
"eval_runtime": 12.0501,
|
| 2377 |
+
"eval_samples_per_second": 39.834,
|
| 2378 |
+
"eval_steps_per_second": 2.49,
|
| 2379 |
"step": 1580
|
| 2380 |
},
|
| 2381 |
{
|
| 2382 |
"epoch": 2.0126582278481013,
|
| 2383 |
+
"grad_norm": 0.8668800592422485,
|
| 2384 |
"learning_rate": 1.6455696202531644e-05,
|
| 2385 |
+
"loss": 0.1732,
|
| 2386 |
+
"step": 1590
|
| 2387 |
+
},
|
| 2388 |
+
{
|
| 2389 |
+
"epoch": 2.0126582278481013,
|
| 2390 |
+
"eval_loss": 0.5968276858329773,
|
| 2391 |
+
"eval_runtime": 12.0023,
|
| 2392 |
+
"eval_samples_per_second": 39.993,
|
| 2393 |
+
"eval_steps_per_second": 2.5,
|
| 2394 |
"step": 1590
|
| 2395 |
},
|
| 2396 |
{
|
| 2397 |
"epoch": 2.0253164556962027,
|
| 2398 |
+
"grad_norm": 1.0960255861282349,
|
| 2399 |
"learning_rate": 1.6244725738396624e-05,
|
| 2400 |
+
"loss": 0.1685,
|
| 2401 |
"step": 1600
|
| 2402 |
},
|
| 2403 |
{
|
| 2404 |
"epoch": 2.0253164556962027,
|
| 2405 |
+
"eval_loss": 0.6258755326271057,
|
| 2406 |
+
"eval_runtime": 12.0148,
|
| 2407 |
+
"eval_samples_per_second": 39.951,
|
| 2408 |
+
"eval_steps_per_second": 2.497,
|
| 2409 |
"step": 1600
|
| 2410 |
},
|
| 2411 |
{
|
| 2412 |
"epoch": 2.037974683544304,
|
| 2413 |
+
"grad_norm": 1.4453450441360474,
|
| 2414 |
"learning_rate": 1.6033755274261607e-05,
|
| 2415 |
+
"loss": 0.17,
|
| 2416 |
+
"step": 1610
|
| 2417 |
+
},
|
| 2418 |
+
{
|
| 2419 |
+
"epoch": 2.037974683544304,
|
| 2420 |
+
"eval_loss": 0.6412980556488037,
|
| 2421 |
+
"eval_runtime": 11.9931,
|
| 2422 |
+
"eval_samples_per_second": 40.023,
|
| 2423 |
+
"eval_steps_per_second": 2.501,
|
| 2424 |
"step": 1610
|
| 2425 |
},
|
| 2426 |
{
|
| 2427 |
"epoch": 2.050632911392405,
|
| 2428 |
+
"grad_norm": 1.2693111896514893,
|
| 2429 |
"learning_rate": 1.5822784810126583e-05,
|
| 2430 |
+
"loss": 0.1733,
|
| 2431 |
+
"step": 1620
|
| 2432 |
+
},
|
| 2433 |
+
{
|
| 2434 |
+
"epoch": 2.050632911392405,
|
| 2435 |
+
"eval_loss": 0.6423253417015076,
|
| 2436 |
+
"eval_runtime": 12.0148,
|
| 2437 |
+
"eval_samples_per_second": 39.951,
|
| 2438 |
+
"eval_steps_per_second": 2.497,
|
| 2439 |
"step": 1620
|
| 2440 |
},
|
| 2441 |
{
|
| 2442 |
"epoch": 2.0632911392405062,
|
| 2443 |
+
"grad_norm": 1.004804253578186,
|
| 2444 |
"learning_rate": 1.5611814345991563e-05,
|
| 2445 |
+
"loss": 0.1636,
|
| 2446 |
+
"step": 1630
|
| 2447 |
+
},
|
| 2448 |
+
{
|
| 2449 |
+
"epoch": 2.0632911392405062,
|
| 2450 |
+
"eval_loss": 0.6398018598556519,
|
| 2451 |
+
"eval_runtime": 12.003,
|
| 2452 |
+
"eval_samples_per_second": 39.99,
|
| 2453 |
+
"eval_steps_per_second": 2.499,
|
| 2454 |
"step": 1630
|
| 2455 |
},
|
| 2456 |
{
|
| 2457 |
"epoch": 2.0759493670886076,
|
| 2458 |
+
"grad_norm": 1.0561076402664185,
|
| 2459 |
"learning_rate": 1.5400843881856543e-05,
|
| 2460 |
+
"loss": 0.1696,
|
| 2461 |
+
"step": 1640
|
| 2462 |
+
},
|
| 2463 |
+
{
|
| 2464 |
+
"epoch": 2.0759493670886076,
|
| 2465 |
+
"eval_loss": 0.645611584186554,
|
| 2466 |
+
"eval_runtime": 11.9981,
|
| 2467 |
+
"eval_samples_per_second": 40.006,
|
| 2468 |
+
"eval_steps_per_second": 2.5,
|
| 2469 |
"step": 1640
|
| 2470 |
},
|
| 2471 |
{
|
| 2472 |
"epoch": 2.088607594936709,
|
| 2473 |
+
"grad_norm": 1.1762917041778564,
|
| 2474 |
"learning_rate": 1.5189873417721521e-05,
|
| 2475 |
+
"loss": 0.1738,
|
| 2476 |
"step": 1650
|
| 2477 |
},
|
| 2478 |
{
|
| 2479 |
"epoch": 2.088607594936709,
|
| 2480 |
+
"eval_loss": 0.6439663767814636,
|
| 2481 |
+
"eval_runtime": 12.0238,
|
| 2482 |
+
"eval_samples_per_second": 39.921,
|
| 2483 |
+
"eval_steps_per_second": 2.495,
|
| 2484 |
"step": 1650
|
| 2485 |
},
|
| 2486 |
{
|
| 2487 |
"epoch": 2.1012658227848102,
|
| 2488 |
+
"grad_norm": 1.1920989751815796,
|
| 2489 |
"learning_rate": 1.4978902953586499e-05,
|
| 2490 |
+
"loss": 0.1696,
|
| 2491 |
+
"step": 1660
|
| 2492 |
+
},
|
| 2493 |
+
{
|
| 2494 |
+
"epoch": 2.1012658227848102,
|
| 2495 |
+
"eval_loss": 0.6413530707359314,
|
| 2496 |
+
"eval_runtime": 11.9807,
|
| 2497 |
+
"eval_samples_per_second": 40.064,
|
| 2498 |
+
"eval_steps_per_second": 2.504,
|
| 2499 |
"step": 1660
|
| 2500 |
},
|
| 2501 |
{
|
| 2502 |
"epoch": 2.1139240506329116,
|
| 2503 |
+
"grad_norm": 1.1294046640396118,
|
| 2504 |
"learning_rate": 1.4767932489451477e-05,
|
| 2505 |
+
"loss": 0.1719,
|
| 2506 |
+
"step": 1670
|
| 2507 |
+
},
|
| 2508 |
+
{
|
| 2509 |
+
"epoch": 2.1139240506329116,
|
| 2510 |
+
"eval_loss": 0.6481492519378662,
|
| 2511 |
+
"eval_runtime": 12.0036,
|
| 2512 |
+
"eval_samples_per_second": 39.988,
|
| 2513 |
+
"eval_steps_per_second": 2.499,
|
| 2514 |
"step": 1670
|
| 2515 |
},
|
| 2516 |
{
|
| 2517 |
"epoch": 2.1265822784810124,
|
| 2518 |
+
"grad_norm": 0.8568058609962463,
|
| 2519 |
"learning_rate": 1.4556962025316457e-05,
|
| 2520 |
+
"loss": 0.1639,
|
| 2521 |
+
"step": 1680
|
| 2522 |
+
},
|
| 2523 |
+
{
|
| 2524 |
+
"epoch": 2.1265822784810124,
|
| 2525 |
+
"eval_loss": 0.654758095741272,
|
| 2526 |
+
"eval_runtime": 11.9709,
|
| 2527 |
+
"eval_samples_per_second": 40.097,
|
| 2528 |
+
"eval_steps_per_second": 2.506,
|
| 2529 |
"step": 1680
|
| 2530 |
},
|
| 2531 |
{
|
| 2532 |
"epoch": 2.1392405063291138,
|
| 2533 |
+
"grad_norm": 1.1770862340927124,
|
| 2534 |
"learning_rate": 1.4345991561181435e-05,
|
| 2535 |
+
"loss": 0.1653,
|
| 2536 |
+
"step": 1690
|
| 2537 |
+
},
|
| 2538 |
+
{
|
| 2539 |
+
"epoch": 2.1392405063291138,
|
| 2540 |
+
"eval_loss": 0.6589924097061157,
|
| 2541 |
+
"eval_runtime": 11.9933,
|
| 2542 |
+
"eval_samples_per_second": 40.022,
|
| 2543 |
+
"eval_steps_per_second": 2.501,
|
| 2544 |
"step": 1690
|
| 2545 |
},
|
| 2546 |
{
|
| 2547 |
"epoch": 2.151898734177215,
|
| 2548 |
+
"grad_norm": 1.4487656354904175,
|
| 2549 |
"learning_rate": 1.4135021097046413e-05,
|
| 2550 |
+
"loss": 0.1684,
|
| 2551 |
"step": 1700
|
| 2552 |
},
|
| 2553 |
{
|
| 2554 |
"epoch": 2.151898734177215,
|
| 2555 |
+
"eval_loss": 0.6486174464225769,
|
| 2556 |
+
"eval_runtime": 11.971,
|
| 2557 |
+
"eval_samples_per_second": 40.097,
|
| 2558 |
+
"eval_steps_per_second": 2.506,
|
| 2559 |
"step": 1700
|
| 2560 |
}
|
| 2561 |
],
|
|
|
|
| 2563 |
"max_steps": 2370,
|
| 2564 |
"num_input_tokens_seen": 0,
|
| 2565 |
"num_train_epochs": 3,
|
| 2566 |
+
"save_steps": 10,
|
| 2567 |
"stateful_callbacks": {
|
| 2568 |
"TrainerControl": {
|
| 2569 |
"args": {
|
checkpoint-1700/training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5880
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f1e7aae8b855413d55586dd498c7d7d805796f0c02067ce9d8ccb1ef37f72d29
|
| 3 |
size 5880
|